Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDDanil V. Prokhorov
Person information
- affiliation: Toyota Technical Center, Ann Arbor, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j50]Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos
, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control Using Stochastic Barrier Functions. IEEE Control. Syst. Lett. 5(5): 1831-1836 (2021)- [j49]Hideyuki Kimpara, Kenechukwu C. Mbanisi, Zhi Li, Karen L. Troy, Danil V. Prokhorov, Michael A. Gennert:
Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control. Hum. Factors 63(4) (2021) - [c62]Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-bounded Control using Stochastic Barrier Functions. ACC 2021: 1131-1136 - [c61]Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. CDC 2021: 5213-5219 - [c60]Xiaodong Yang, Taylor T. Johnson, Hoang-Dung Tran, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov:
Reachability analysis of deep ReLU neural networks using facet-vertex incidence. HSCC 2021: 18:1-18:7 - [c59]Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos:
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. IROS 2021: 5794-5800 - [i12]Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos:
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. CoRR abs/2105.01204 (2021) - [i11]Xiaodong Yang, Tomoya Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Reachability Analysis of Convolutional Neural Networks. CoRR abs/2106.12074 (2021) - [i10]Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Neural Network Repair with Reachability Analysis. CoRR abs/2108.04214 (2021) - [i9]Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. CoRR abs/2112.14912 (2021) - 2020
- [j48]Fan Yang, Lei Zhang, Sijia Yu, Danil V. Prokhorov, Xue Mei, Haibin Ling:
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 21(4): 1525-1535 (2020) - [j47]Hideyuki Kimpara, Kenechukwu C. Mbanisi, Jie Fu, Zhi Li, Danil V. Prokhorov, Michael A. Gennert:
Human Model-Based Active Driving System in Vehicular Dynamic Simulation. IEEE Trans. Intell. Transp. Syst. 21(5): 1903-1914 (2020) - [j46]Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski:
Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components. IEEE Trans. Intell. Veh. 5(2): 265-280 (2020) - [c58]Yuji Date, Takeshi Baba, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov:
Application of Simulation-Based Methods on Autonomous Vehicle Control with Deep Neural Network: Work-in-Progress. EMSOFT 2020: 1-3 - [c57]Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Jyotirmoy V. Deshmukh:
Specification-guided Software Fault Localization for Autonomous Mobile Systems. MEMOCODE 2020: 1-12
2010 – 2019
- 2019
- [j45]Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov:
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. Inf. Sci. 485: 230-247 (2019) - [j44]Jifeng Shen, Xin Zuo, Wankou Yang, Danil V. Prokhorov, Xue Mei, Haibin Ling:
Differential Features for Pedestrian Detection: A Taylor Series Perspective. IEEE Trans. Intell. Transp. Syst. 20(8): 2913-2922 (2019) - [j43]Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov:
Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning. IEEE Trans. Intell. Veh. 4(2): 287-297 (2019) - [j42]Wangmeng Zuo, Xi Peng, Ling Shao, Danil V. Prokhorov, Horst Bischof:
Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2894-2897 (2019) - [j41]Zhiqiang Wan, Hepeng Li, Haibo He, Danil V. Prokhorov:
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning. IEEE Trans. Smart Grid 10(5): 5246-5257 (2019) - [c56]Jyotirmoy V. Deshmukh, James Kapinski, Tomoya Yamaguchi, Danil V. Prokhorov:
Learning Deep Neural Network Controllers for Dynamical Systems with Safety Guarantees: Invited Paper. ICCAD 2019: 1-7 - [c55]Danil V. Prokhorov:
Toward Next Generation of Autonomous Systems with AI. IJCNN 2019: 1-5 - [i8]Fan Yang, Lei Zhang, Sijia Yu, Danil V. Prokhorov, Xue Mei, Haibin Ling:
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. CoRR abs/1901.06340 (2019) - [i7]Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski:
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components. CoRR abs/1908.01094 (2019) - 2018
- [j40]Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil V. Prokhorov, Haibin Ling:
Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach. IEEE Trans. Intell. Transp. Syst. 19(3): 745-757 (2018) - [j39]Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling:
Multi-Level Contextual RNNs With Attention Model for Scene Labeling. IEEE Trans. Intell. Transp. Syst. 19(11): 3475-3485 (2018) - [c54]He Jiang, Xiao-Kang Liu, Haibo He, Chengzhi Yuan, Danil V. Prokhorov:
Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems. ACC 2018: 5175-5180 - [c53]Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green:
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN 2018: 1-8 - [i6]Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov:
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. CoRR abs/1810.05593 (2018) - 2017
- [j38]Yong-Duan Song, Frank L. Lewis, Marios M. Polycarpou, Danil V. Prokhorov, Dongbin Zhao:
Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control. IEEE Trans. Neural Networks Learn. Syst. 28(3): 494-499 (2017) - [j37]Jun Li, Xue Mei, Danil V. Prokhorov, Dacheng Tao:
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. IEEE Trans. Neural Networks Learn. Syst. 28(3): 690-703 (2017) - [c52]Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling:
RGB-D Scene Labeling with Multimodal Recurrent Neural Networks. CVPR Workshops 2017: 203-211 - [c51]Han-Kai Hsu, Yi-Hsuan Tsai, Xue Mei, Kuan-Hui Lee, Naoki Nagasaka, Danil V. Prokhorov, Ming-Hsuan Yang:
Learning to tell brake and turn signals in videos using CNN-LSTM structure. ITSC 2017: 1-6 - [i5]Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov:
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. CoRR abs/1706.01077 (2017) - [i4]Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov:
Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic. CoRR abs/1707.04489 (2017) - 2016
- [j36]Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov:
Approximation with random bases: Pro et Contra. Inf. Sci. 364-365: 129-145 (2016) - [j35]Danil V. Prokhorov, Sadayuki Tsugawa, Christoph Stiller, Christian Laugier, Emilio Frazzoli, Mohan M. Trivedi, Dimitar P. Filev:
IEEE Transactions on Intelligent Vehicles Senior Associate Editors. IEEE Trans. Intell. Veh. 1(1): 3-5 (2016) - [j34]Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov:
Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. IEEE Trans. Intell. Veh. 1(1): 20-32 (2016) - [c50]Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang:
Learning to tell brake lights with convolutional features. ITSC 2016: 1558-1563 - [c49]Shuai Di, Honggang Zhang, Xue Mei, Danil V. Prokhorov, Haibin Ling:
A benchmark for cross-weather traffic scene understanding. ITSC 2016: 2150-2156 - [c48]Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling:
Cross datasets vegetation detection with spatial prior and local context. Intelligent Vehicles Symposium 2016: 735-740 - [c47]Danil V. Prokhorov:
Toward Highly Intelligent Automobiles. VEHITS 2016: 7 - [i3]Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling:
Multi-level Contextual RNNs with Attention Model for Scene Labeling. CoRR abs/1607.02537 (2016) - 2015
- [j33]Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov:
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26(3): 614-627 (2015) - [j32]Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov:
Model-Free Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1834-1839 (2015) - [j31]Xue Mei, Zhibin Hong, Danil V. Prokhorov, Dacheng Tao:
Robust Multitask Multiview Tracking in Videos. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2874-2890 (2015) - [c46]Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao:
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking. CVPR 2015: 749-758 - [c45]Shuai Di, Honggang Zhang, Xue Mei, Danil V. Prokhorov, Haibin Ling:
Spatial Prior for Nonparametric Road Scene Parsing. ITSC 2015: 1209-1214 - [c44]Xue Mei, Naoki Nagasaka, Bunyo Okumura, Danil V. Prokhorov:
Detection and motion planning for roadside parked vehicles at long distance. Intelligent Vehicles Symposium 2015: 412-418 - [i2]Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov:
Approximation with Random Bases: Pro et Contra. CoRR abs/1506.04631 (2015) - 2014
- [j30]Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso:
Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1909-1920 (2014) - [c43]Pengpeng Liang, Yi Wu, Xue Mei, Jingyi Yu, Erik Blasch, Danil V. Prokhorov, Chunyuan Liao, Haitao Lang, Haibin Ling:
Blur-Resilient Tracking Using Group Sparsity. ACCV (5) 2014: 131-145 - [c42]Zhibin Hong, Chaohui Wang, Xue Mei, Danil V. Prokhorov, Dacheng Tao:
Tracking Using Multilevel Quantizations. ECCV (6) 2014: 155-171 - [c41]Danil V. Prokhorov:
Computational Intelligence in Automotive R & D. IJCCI (ECTA) 2014: IS-7 - [c40]Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko:
Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. IJCNN 2014: 3548-3555 - 2013
- [j29]Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov:
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2088-2100 (2013) - [c39]Zhibin Hong, Xue Mei, Danil V. Prokhorov, Dacheng Tao:
Tracking via Robust Multi-task Multi-view Joint Sparse Representation. ICCV 2013: 649-656 - [c38]Xiangnan Zhong, Haibo He, Danil V. Prokhorov:
Robust controller design of continuous-time nonlinear system using neural network. IJCNN 2013: 1-8 - 2012
- [j28]Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov:
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1671-1676 (2012) - [c37]Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov:
Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. IJCNN 2012: 1-8 - [c36]Jing Wang, Haibo He, Danil V. Prokhorov:
A Folded Neural Network Autoencoder for Dimensionality Reduction. INNS-WC 2012: 120-127 - 2011
- [j27]Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso:
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22(1): 1-7 (2011) - [c35]Danil V. Prokhorov:
Overview of CI research in automotive ITS. CIVTS 2011: 1-7 - [c34]Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu:
An online actor-critic learning approach with Levenberg-Marquardt algorithm. IJCNN 2011: 2333-2340 - 2010
- [j26]Danil V. Prokhorov:
A convolutional learning system for object classification in 3-D lidar data. IEEE Trans. Neural Networks 21(5): 858-863 (2010) - [c33]Danil V. Prokhorov:
Multi-agent framework for remote diagnostics. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c32]Danil V. Prokhorov:
Road obstacle classification with attention windows. Intelligent Vehicles Symposium 2010: 889-895 - [p2]Vladimir G. Red'ko, Danil V. Prokhorov:
Learning and Evolution of Autonomous Adaptive Agents. Advances in Machine Learning I 2010: 491-500
2000 – 2009
- 2009
- [j25]Kihoon Choi, Satnam Singh, Anuradha Kodali, Krishna R. Pattipati, John W. Sheppard, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao:
Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems. IEEE Trans. Instrum. Meas. 58(3): 602-611 (2009) - [j24]Satnam Singh, Anuradha Kodali, Kihoon Choi, Krishna R. Pattipati, Setu Madhavi Namburu, S. C. Sean, Danil V. Prokhorov, Liu Qiao:
Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques. IEEE Trans. Syst. Man Cybern. Part A 39(1): 160-176 (2009) - [c31]Ivan Tyukin, Danil V. Prokhorov:
Feasibility of random basis function approximators for modeling and control. CCA/ISIC 2009: 1391-1396 - [c30]Danil V. Prokhorov:
Risk estimator for control in intelligent transportation system. CCA/ISIC 2009: 1403-1408 - [c29]Danil V. Prokhorov:
A self-learning sensor fusion system for object classification. CIVVS 2009: 1-7 - [c28]Danil V. Prokhorov:
Object recognition in 3D lidar data with recurrent neural network. CVPR Workshops 2009: 9-15 - [c27]Danil V. Prokhorov:
A Self-learning System for Object Categorization. ICEIS 2009: 265-274 - [c26]Danil V. Prokhorov, Yasuo Uehara:
Performance measurement and its role in advancement for intelligent systems: discussion points. PerMIS 2009: 265-267 - [i1]Ivan Tyukin, Danil V. Prokhorov:
Feasibility of random basis function approximators for modeling and control. CoRR abs/0905.0677 (2009) - 2008
- [j23]Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen:
Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof. Neural Comput. 20(10): 2564-2596 (2008) - [j22]Danil V. Prokhorov:
Toyota Prius HEV neurocontrol and diagnostics. Neural Networks 21(2-3): 458-465 (2008) - [c25]Danil V. Prokhorov, Johann Schumann:
Intelligent Systems for Modeling and Control: Advances in Design and Validation. ISIC 2008: 18 - [c24]Setu Madhavi Namburu, Danil V. Prokhorov, Shunsuke Chigusa, Liu Qiao, Krishna R. Pattipati:
KDD and Its Applications in Automotive Sector - A Brief Survey. DMIN 2008: 335-341 - [c23]Zhengping Ji, Danil V. Prokhorov:
Radar-vision fusion for object classification. FUSION 2008: 1-7 - [c22]Dhafar S. Mohammed, Saeid R. Habibi, Danil V. Prokhorov:
Adaptive parameter robust estimation. IJCNN 2008: 2948-2955 - [p1]Danil V. Prokhorov:
Neural Networks in Automotive Applications. Computational Intelligence in Automotive Applications 2008: 101-123 - [e1]Danil V. Prokhorov:
Computational Intelligence in Automotive Applications. Studies in Computational Intelligence 132, Springer 2008, ISBN 978-3-540-79256-7 [contents] - 2007
- [j21]Xiao Hu, Danil V. Prokhorov, Donald C. Wunsch II:
Time series prediction with a weighted bidirectional multi-stream extended Kalman filter. Neurocomputing 70(13-15): 2392-2399 (2007) - [j20]Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen:
Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization. IEEE Trans. Autom. Control. 52(9): 1543-1559 (2007) - [j19]Danil V. Prokhorov:
Intelligent Control Systems Using Computational Intelligence [book review]. IEEE Trans. Neural Networks 18(2): 611-612 (2007) - [j18]Xindi Cai, Danil V. Prokhorov, Donald C. Wunsch II:
Training Winner-Take-All Simultaneous Recurrent Neural Networks. IEEE Trans. Neural Networks 18(3): 674-684 (2007) - [j17]Frank L. Lewis, Jie Huang, Thomas Parisini, Danil V. Prokhorov, Donald C. Wunsch II:
Guest Editorial Special Issue on Neural Networks for Feedback Control Systems. IEEE Trans. Neural Networks 18(4): 969-972 (2007) - [j16]Danil V. Prokhorov:
Training Recurrent Neurocontrollers for Real-Time Applications. IEEE Trans. Neural Networks 18(4): 1003-1015 (2007) - [c21]Danil V. Prokhorov:
Prius control with a hybrid method. ICINCO-RA (1) 2007: 372-376 - [c20]Danil V. Prokhorov:
Toyota Prius HEV neurocontrol. IJCNN 2007: 2129-2134 - [c19]Steven F. Kalik, Danil V. Prokhorov:
Automotive Turing Test. PerMIS 2007: 152-158 - [c18]Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao:
Dynamic fusion of classifiers for fault diagnosis. SMC 2007: 2467-2472 - 2006
- [j15]Danil V. Prokhorov:
Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter. IEEE Trans. Neural Networks 17(6): 1606-1616 (2006) - [c17]Danil V. Prokhorov:
Feedback Neurocontrol of a Disease. IJCNN 2006: 2345-2348 - [c16]Vladimir G. Red'ko, Konstantin V. Anokhin, Mikhail S. Burtsev, Alexander I. Manolov, Oleg P. Mosalov, Valentin A. Nepomnyashchikh, Danil V. Prokhorov:
Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory. SAB ABiALS 2006: 94-107 - 2005
- [j14]Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, William Howell:
Welcome to the special issue. Neural Networks 18(5-6): 457- (2005) - [j13]Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov:
A model of evolution and learning. Neural Networks 18(5-6): 738-745 (2005) - [c15]Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov:
Investigation of Evolving Populations of Adaptive Agents. ICANN (1) 2005: 337-342 - 2004
- [c14]Nikita E. Barabanov, Danil V. Prokhorov:
Stability analysis of discrete-time recurrent multilayer neural networks. CDC 2004: 4958-4963 - 2003
- [j12]Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov:
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach. Neural Comput. 15(10): 2419-2455 (2003) - [j11]Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp:
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks. Neural Networks 16(5-6): 683-689 (2003) - [j10]Ivan Tyukin, Danil V. Prokhorov, Valery A. Terekhov:
Adaptive control with nonconvex parameterization. IEEE Trans. Autom. Control. 48(4): 554-567 (2003) - [j9]Nikita Barabanov, Danil V. Prokhorov:
A new method for stability analysis of nonlinear discrete-time systems. IEEE Trans. Autom. Control. 48(12): 2250-2255 (2003) - [c13]Danil V. Prokhorov:
Optimal neurocontrollers for discretized distributed parameter systems. ACC 2003: 549-554 - [c12]Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen:
Finite form realizations of adaptive control algorithms. ECC 2003: 264-269 - 2002
- [j8]Nikita Barabanov, Danil V. Prokhorov:
Stability analysis of discrete-time recurrent neural networks. IEEE Trans. Neural Networks 13(2): 292-303 (2002) - [c11]Nikita E. Barabanov, Danil V. Prokhorov:
Two alternative stability criteria for discrete-time RMLP. CDC 2002: 1776-1779 - [c10]Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, Valery A. Terekhov:
On a problem of time-varying learning rate influence on the adaptive system dynamics. CDC 2002: 4718-4721 - 2001
- [c9]Nikita E. Barabanov, Danil V. Prokhorov:
Global stability analysis of discrete-time recurrent neural networks. ACC 2001: 4550-4555 - 2000
- [j7]Arthur Petrosian, Danil V. Prokhorov, Richard Homan, Richard Dasheiff, Donald C. Wunsch II:
Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. Neurocomputing 30(1-4): 201-218 (2000) - [j6]Paul H. Eaton, Danil V. Prokhorov, Donald C. Wunsch II:
Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction. IEEE Trans. Neural Networks Learn. Syst. 11(2): 423-435 (2000) - [c8]Valeri A. Terekhov, Ivan Yu. Tyukin, Danil V. Prokhorov:
Adaptive control on manifolds with RBF neural networks. CDC 2000: 3831-3836
1990 – 1999
- 1999
- [c7]Danil V. Prokhorov, Lee A. Feldkamp:
Application of SVM to Lyapunov function approximation. IJCNN 1999: 383-387 - 1998
- [j5]Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II:
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks. IEEE Trans. Neural Networks 9(6): 1456-1470 (1998) - [c6]Danil V. Prokhorov, Lee A. Feldkamp:
Analyzing for Lyapunov stability with adaptive critics. SMC 1998: 1658-1661 - 1997
- [j4]Danil V. Prokhorov, Donald C. Wunsch II:
Adaptive critic designs. IEEE Trans. Neural Networks 8(5): 997-1007 (1997) - [j3]Wang Song, Shaowei Xia, Jianchang Mao, Anil K. Jain, Danil V. Prokhorov, Donald C. Wunsch II:
Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply]. IEEE Trans. Neural Networks 8(6): 1561-1563 (1997) - [j2]Danil V. Prokhorov, Donald C. Wunsch:
Corrections To "Adaptive Critic Designs". IEEE Trans. Neural Networks 8(6): 1563 (1997) - [c5]Raonak Zaman, Danil V. Prokhorov, Donald C. Wunsch II:
Adaptive critic design in learning to play game of Go. ICNN 1997: 1-4 - [c4]Danil V. Prokhorov, Lee A. Feldkamp:
Primitive adaptive critics. ICNN 1997: 2263-2267 - [c3]