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ORCIDIJCNN 2014: Beijing, China
- 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014. IEEE 2014, ISBN 978-1-4799-6627-1
- Ling Chen, Chuandong Li
, Tingwen Huang, Xing He, Hai Li, Yiran Chen:
STDP learning rule based on memristor with STDP property. 1-6 - Xiaofang Hu, Gang Feng, Hai Li, Yiran Chen, Shukai Duan:
An adjustable memristor model and its application in small-world neural networks. 7-14 - Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Mark R. McLean, Doug Palmer:
Efficacy of memristive crossbars for neuromorphic processors. 15-20 - Raqibul Hasan, Tarek M. Taha:
Enabling back propagation training of memristor crossbar neuromorphic processors. 21-28 - Zhaohao Wang, Weisheng Zhao, Wang Kang, Youguang Zhang, Jacques-Olivier Klein, Claude Chappert:
Ferroelectric tunnel memristor-based neuromorphic network with 1T1R crossbar architecture. 29-34 - Kit Yan Chan, Tharam S. Dillon:
Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models. 35-41 - Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Optimal design of traffic signal controller using neural networks and fuzzy logic systems. 42-47 - José García-Nieto, Javier Ferrer, Enrique Alba:
Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption. 48-54 - Leo de Penning, Artur S. d'Avila Garcez, Luís C. Lamb, Arjan Stuiver, John-Jules Ch. Meyer:
Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions. 55-62 - Simon Witheridge, Benjamin N. Passow, Jethro Shell:
LOGAN's Run: Lane optimisation using genetic algorithms based on NSGA-II. 63-68 - Giacomo Boracchi, Michalis Michaelides, Manuel Roveri:
A cognitive monitoring system for contaminant detection in intelligent buildings. 69-76 - Fengzhen Tang, Peter Tiño, Huanhuan Chen:
Learning the deterministically constructed Echo State Networks. 77-83 - Miquel Àngel Cugueró, Joseba Quevedo, Vicenç Puig, Diego García:
Inconsistent sensor data detection/correction: Application to environmental systems. 84-90 - Roozbeh Razavi-Far, Vasile Palade, Enrico Zio:
Optimal detection of new classes of faults by an Invasive Weed Optimization method. 91-98 - Vasso Reppa, Panayiotis M. Papadopoulos, Marios M. Polycarpou, Christos G. Panayiotou:
A distributed virtual sensor scheme for smart buildings based on adaptive approximation. 99-106 - Paul J. Werbos:
From ADP to the brain: Foundations, roadmap, challenges and research priorities. 107-111 - Dan Wang, Yi Shang:
A new active labeling method for deep learning. 112-119 - Nannan Ji, Jiang-She Zhang:
Parallel tempering with equi-energy moves for training of restricted boltzmann machines. 120-127 - Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang:
EOG-based drowsiness detection using convolutional neural networks. 128-134 - Saurav Biswas, Muhammad Zeshan Afzal, Thomas M. Breuel:
Using recurrent networks for non-temporal classification tasks. 135-140 - Byungik Ahn:
Computation of deep belief networks using special-purpose hardware architecture. 141-148 - Yilin Dong, Jianhua Zhang, Jonathan M. Garibaldi:
Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. 149-156 - Yilin Dong, Jianhua Zhang:
An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. 157-164 - Grzegorz Surowka, Maciej Ogorzalek:
On optimal wavelet bases for classification of skin lesion images through ensemble learning. 165-170 - Yong Liu, Qiangfu Zhao, Yan Pei:
From low negative correlation learning to high negative correlation learning. 171-174 - Ayon Sen, Md. Monirul Islam, Kazuyuki Murase:
An algorithmic framework based on the binarization approach for supervised and semi-supervised multiclass problems. 175-182 - Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall:
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. 183-189 - Shelvin Chand, Rohitash Chandra:
Multi-objective cooperative coevolution of neural networks for time series prediction. 190-197 - Xinying Wang, Min Han:
Multivariate time series prediction based on multiple kernel extreme learning machine. 198-201 - Shelvin Chand, Rohitash Chandra:
Cooperative coevolution of feed forward neural networks for financial time series problem. 202-209 - Md. Mustafizur Rahman, Shubhra Kanti Karmaker Santu, Md. Monirul Islam, Kazuyuki Murase:
Forecasting time series - A layered ensemble architecture. 210-217 - Ivan Jordanov, Nedyalko Petrov:
Sets with incomplete and missing data - NN radar signal classification. 218-224 - Yonglin Pu, Michael J. Baad, Yulei Jiang, Yisheng Chen:
Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements. 225-230 - Xiong Yang, Derong Liu, Qinglai Wei:
Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning. 231-238 - Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. 239-244 - Ruizhuo Song, Qinglai Wei, Zenglian Zhang, Biao Song:
Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation. 245-248 - Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei:
Policy iteration approximate dynamic programming using Volterra series based actor. 249-255 - Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei:
Online adaptation of controller parameters based on approximate dynamic programming. 256-262 - Dmitry Kit, Yu Kong, Yun Fu:
LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. 263-270 - Chuntao Ding, Li Zhang, Bangjun Wang:
Hidden space discriminant neighborhood embedding. 271-277 - Xing Bao, Li Zhang, Bangjun Wang, Ji-Wen Yang:
A supervised neighborhood preserving embedding for face recognition. 278-284 - Thanh Minh Nguyen, Q. M. Jonathan Wu:
Asymmetric mixture model with variational Bayesian learning. 285-290 - Sartaj Singh Sodhi, Pravin Chandra, Sharad Tanwar:
A new weight initialization method for sigmoidal feedforward artificial neural networks. 291-298 - Qiaolin Ye, Ning Ye, Haofeng Zhang, Chunxia Zhao:
Fast orthogonal linear discriminant analysis with applications to image classification. 299-306 - Guizhen Feng, Jinde Cao:
Stability analysis of nonlinear time-delay system with delayed impulsive effects. 307-312 - Jun Li, Heyou Chang, Jian Yang:
Learning discriminative low-rank representation for image classification. 313-318 - Jinhua Xu, Li Ding, Shiliang Sun:
Supervised Bayesian sparse coding for classification. 319-326 - Yasmine Guerbai, Youcef Chibani, Bilal Hadjadji:
Writer-independent Handwritten Signature Verification based on One-Class SVM classifier. 327-331 - Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie:
Attack detection in recommender systems based on target item analysis. 332-339 - Qiling Ni, Xiaodong Gu:
Video attention saliency mapping using pulse coupled neural network and optical flow. 340-344 - Bilal Hadjadji, Youcef Chibani:
Optimized selection of training samples for One-Class Neural Network classifier. 345-349 - Qiuying Yang, Ying Wen:
Zernike moments descriptor matching based symmetric optical flow for motion estimation and image registration. 350-357 - Yichuan Gui, James Ting-Ho Lo, Yun Peng:
A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion. 358-365 - Ren Zhang, Furao Shen, Jinxi Zhao:
A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting. 366-373 - Liu Zhi Long, Yang Feng, Zhou Ke Jun, Xu Mei:
Control of methylamine removal reactor using neural network based model predictive control. 374-381 - Jingru Li, Junzo Watada, Shamshul Bahar Yaakob:
A genetic algorithm based double layer neural network for solving quadratic bilevel programming problem. 382-389 - Eurico L. P. Ruivo, Pedro Paulo Balbi de Oliveira:
Detection of filter-like cellular automata spectra. 390-397 - Zhaozhao Zhang, Jun-Fei Qiao:
A brain-like multi-hierarchical modular neural network with applications to gas concentration forecasting. 398-403 - Shigang Wang, Shuyuan Yang, Zhixi Feng, Licheng Jiao:
Fast ship detection of synthetic aperture radar images via multi-view features and clustering. 404-410 - Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao:
Deep learning to classify difference image for image change detection. 411-417 - Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang:
Performance of combined artificial neural networks for forecasting landslide displacement. 418-423 - Sowmya Ch, Anjumara Shaik, Chakravarthi Jada, Anil Kumar Vadathya:
Butterfly Communication Strategies: A prospect for soft-computing techniques. 424-431 - Shihai Wang, Zelin Li:
A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition. 432-439 - Lu Liu, Dan Wang, Zhouhua Peng:
Adaptive output feedback control for cooperative dynamic positioning of multiple offshore vessels. 440-445 - Hu Lu, Hui Wei, Zhe Liu, Yuqing Song:
Hierarchical organization in neuronal functional networks during working memory tasks. 446-451 - Ping Ling, Xiangsheng Rong, Guosheng Hao, Yongquan Dong:
Shrank Support Vector Clustering. 452-459 - Jianchao Fan, Dongzhi Zhao, Jun Wang:
Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network. 460-464 - Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie:
Deep process neural network for temporal deep learning. 465-472 - Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie:
Dynamic boosting in deep learning using reconstruction error. 473-480 - Xiaolan Lv, Ruohe Yao:
Efficient diminished-1 modulo 2n+1 multiplier architectures. 481-486 - Johannes Mohr, Sambu Seo, Klaus Obermayer:
A classifier-based association test for imbalanced data derived from prediction theory. 487-493 - Eduardo G. Gusmão, Marcilio C. P. de Souto:
Issues on sampling negative examples for predicting prokaryotic promoters. 494-501 - Shirin Enshaeifar, Saeid Sanei, Clive Cheong Took:
Singular spectrum analysis for tracking of P300. 502-506 - Xiaoming Liu, Zhigang Zeng, Xiaoping Wang:
Vessel segmentation in retinal images with a multiple kernel learning based method. 507-511 - Patryk Najgebauer, Tomasz Nowak, Jakub Romanowski, Marcin Gabryel, Marcin Korytkowski, Rafal Scherer:
Content-based image retrieval by dictionary of local feature descriptors. 512-517 - Rozaida Ghazali, Noor Aida Husaini, Lokman Hakim Bin Ismail, Tutut Herawan, Yana Mazwin Mohmad Hassim:
The performance of a Recurrent HONN for temperature time series prediction. 518-524 - Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu:
EEG-based emotion recognition using discriminative graph regularized extreme learning machine. 525-532 - William Cruz-Santos, Alberto Beltrán-Herrera, Eduardo Vázquez-Santacruz, Mariano Gamboa-Zúñiga:
Posture classification of lying down human bodies based on pressure sensors array. 533-537 - Zhanshan Wang, Zhengwei Shen, Chao Cai, Kaili Jia:
Adaptive control of wind turbine generator system based on RBF-PID neural network. 538-543 - Songyun Xie, You Wu, Yunpeng Zhang, Juanli Zhang, Chang Liu:
Single channel single trial P300 detection using extreme learning machine: Compared with BPNN and SVM. 544-549 - Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin:
Spectral clustering-based local and global structure preservation for feature selection. 550-557 - Jianyong Sun, Aimin Zhou:
Unsupervised robust Bayesian feature selection. 558-564 - Rohitash Chandra:
Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction. 565-572 - Souhir Bouaziz, Adel M. Alimi, Ajith Abraham:
Universal approximation propriety of Flexible Beta Basis Function Neural Tree. 573-580 - Nan Hu, Dan Huang, Shaoyuan Li, Feng Gao:
Trotting gait planning for a quadruped robot with high payload walking on irregular terrain. 581-587 - Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi:
Using HDDT to avoid instances propagation in unbalanced and evolving data streams. 588-594 - Gregory Ditzler, Gail L. Rosen, Robi Polikar:
Domain adaptation bounds for multiple expert systems under concept drift. 595-601 - Robert Capo, Anthony Sanchez, Robi Polikar:
Core support extraction for learning from initially labeled nonstationary environments using COMPOSE. 602-608 - Jehandad Khan, Nidhal Bouaynaya, Robi Polikar:
Optimal Bayesian classification in nonstationary streaming environments. 609-616 - Bartosz Krawczyk, Michal Wozniak:
New untrained aggregation methods for classifier combination. 617-622 - Lei Song, Shaoning Pang, Ian Longley, Gustavo Olivares, Abdolhossein Sarrafzadeh:
Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression. 623-630 - Seyyed Adel Alavi Fazel, Michael Blumenstein, Hamid Mirfenderesk, Rodger Tomlinson:
Estuarine flood modelling using artificial neural networks. 631-637 - Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia:
NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data. 638-645 - Michael J. Watts:
Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. 646-650 - Pavel Krömer, Petr Musílek, Emil Pelikán, Pavel Krc, Pavel Jurus, Krystof Eben:
Support Vector Regression of multiple predictive models of downward short-wave radiation. 651-657 - André Bianconi, Michael J. Watts, Yanbo Huang, Adriane Beatriz de Souza Serapião, José Silvio Govone, X. Mi, Gustavo Habermann, Alessandro Ferrarini:
Applying computational intelligence methods to modeling and predicting common bean germination rates. 658-662 - Demetrios G. Eliades, Christos G. Panayiotou, Marios M. Polycarpou:
Contamination event detection in drinking water systems using a real-time learning approach. 663-670 - Leonid I. Perlovsky:
Cognitive functions of aesthetic emotions. 671-675 - Sheng Li, Ming Shao, Yun Fu:
Locality linear fitting one-class SVM with low-rank constraints for outlier detection. 676-683 - Chen Yu, Tian Xu, Yiwen Zhong, Seth B. Foster, Hui Zhang:
Learning to interact and interacting to learn: Active statistical learning in human-robot interaction. 684-691 - Alessandro G. Di Nuovo, Vivian M. De La Cruz, Angelo Cangelosi, Santo Di Nuovo:
The iCub learns numbers: An embodied cognition study. 692-699 - Martin F. Stoelen, Davide Marocco, Angelo Cangelosi, Fabio Bonsignorio, Carlos Balaguer:
Predictive Hebbian association of time-delayed inputs with actions in a developmental robot platform. 700-707 - Georgios Pierris, Torbjørn S. Dahl:
A developmental perspective on humanoid skill learning using a hierarchical SOM-based encoding. 708-715 - Qian Guo, Xiaofeng Wu, Juyang Weng:
WWN-9: Cross-domain synaptic maintenance and its application to object groups recognition. 716-723 - Arnulfo P. Azcarraga, Paolo Tensuan, Rudy Setiono:
Tagging documents using neural networks based on local word features. 724-731 - Yang Gu, Junfa Liu, Yiqiang Chen, Xinlong Jiang:
Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system. 732-738 - Li Zhang, M. Alamgir Hossain, Ming Jiang:
Intelligent Facial Action and emotion recognition for humanoid robots. 739-746 - Yuan Liu, Tianfan Fu, Yuchen Fan, Yanmin Qian, Kai Yu:
Speaker verification with deep features. 747-753 - Achille Melingui, Rochdi Merzouki, Jean Bosco Mbede, Coralie Escande, Boubaker Daachi, Nabil Benoudjit:
Qualitative approach for inverse kinematic modeling of a Compact Bionic Handling Assistant trunk. 754-761 - Lucas A. Lopes, Vinícius Ponte Machado, Ricardo de A. L. Rabelo:
Automatic cluster labeling through Artificial Neural Networks. 762-769 - Meng Joo Er, Zhifei Shao, Ning Wang:
A fast and effective Extreme learning machine algorithm without tuning. 770-777 - Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Aggregation of Pi-based forecast to enhance prediction accuracy. 778-784 - Tomislav Bacek, Dubravko Majetic, Danko Brezak:
GPU implementation of the feedforward neural network with modified Levenberg-Marquardt algorithm. 785-791 - Anthony Knittel, Alan D. Blair:
Coarse and fine learning in deep networks. 792-799 - Wentao Zhu, Jun Miao, Laiyun Qing:
Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network. 800-807 - Abdelhamid Bouchachia, Alexander Ortner:
Self-learning recursive neural networks for structured data classification. 808-815 - Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni:
Data-aware remaining time prediction of business process instances. 816-823 - Mashud Rana, Irena Koprinska, Alicia Troncoso Lora:
Forecasting hourly electricity load profile using neural networks. 824-831 - Wenchao Lao, Ying Wang, Chen Peng, Chengxu Ye, Yunong Zhang:
Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions. 832-837 - Ali Babikir, Henry Mwambi:
A factor - Artificial neural network model for time series forecasting: The case of South Africa. 838-844 - Everton Silva, Douglas Castilho, Adriano C. M. Pereira, Humberto Brandao:
A neural network based approach to support the Market Making strategies in High-Frequency Trading. 845-852 - Gianluca Bontempi:
A Monte Carlo strategy for structured multiple-step-ahead time series prediction. 853-858