• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 20 matches

• 2023
• 
  Robert Tjarko Lange, Henning Sprekeler:
  Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability. GECCO Companion 2023: 31-32
• 
  Robert Tjarko Lange, Henning Sprekeler:
  Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. ICML 2023: 18535-18547
• 
  Robert Tjarko Lange, Henning Sprekeler:
  Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. CoRR abs/2306.00045 (2023)
• 
  James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown:
  Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. CoRR abs/2311.10869 (2023)
• 2021
• 
  Zakaria Oussalem, Rochan Avlur Venkat, Jahnavi Malagavalli, Arya Kumar Bhattacharya:
  Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution. CEC 2021: 1209-1216
• 2019
• 
  Ashraf Osman Ibrahim, Siti Mariyam Shamsuddin, Ajith Abraham, Sultan Noman Qasem:
  Adaptive memetic method of multi-objective genetic evolutionary algorithm for backpropagation neural network. Neural Comput. Appl. 31(9): 4945-4962 (2019)
• 2018
• 
  Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le:
  Backprop Evolution. CoRR abs/1808.02822 (2018)
• 2017
• 
  Iliyan Zankinski, Maria Barova, Petar Tomov:
  Hybrid Approach Based on Combination of Backpropagation and Evolutionary Algorithms for Artificial Neural Networks Training by Using Mobile Devices in Distributed Computing Environment. LSSC 2017: 425-432
• 2015
• 
  Gary Wong, Rohitash Chandra:
  Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification. ICONIP (1) 2015: 293-301
• 2012
• 
  Luiz Carlos Camargo, Hegler Correa Tissot, Aurora Trinidad Ramirez Pozo:
  Use of Backpropagation and Differential Evolution Algorithms to Training MLPs. SCCC 2012: 78-86
• 2010
• 
  Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
  ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Min. 3: 5 (2010)
• 
  José Parra Galaviz, Patricia Melin, Leonardo Trujillo:
  Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies. Soft Computing for Recognition Based on Biometrics 2010: 287-302
• 2007
• 
  Diego H. Milone:
  Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation. Genet. Program. Evolvable Mach. 8(3): 289-291 (2007)
• 2003
• 
  Hussein A. Abbass:
  Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms. Neural Comput. 15(11): 2705-2726 (2003)
• 2002
• 
  Martin Mandischer:
  A comparison of evolution strategies and backpropagation for neural network training. Neurocomputing 42(1-4): 87-117 (2002)
• 2000
• 
  Doo-Hyun Choi, Se-Young Oh:
  A new mutation rule for evolutionary programming motivated from backpropagation learning. IEEE Trans. Evol. Comput. 4(2): 188-190 (2000)
• 1999
• 
  Shou King Foo:
  An evolutionary algorithm for parallel mapping of backpropagation learning on heterogeneous processor networks. Int. J. Syst. Sci. 30(3): 309-321 (1999)
• 1998
• 
  Günther R. Raidl, Gabriele Kodydek:
  Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks. NC 1998: 885-890
• 1997
• 
  David McLean, Zuhair Bandar, James D. O'Shea:
  The Evolution of a Feedforward Neural Network trained under Backpropagation. ICANNGA 1997: 518-522
• 
  Tim Whitfort, Belinda Choi, Chris Matthews, John McCullagh:
  An Evolutionary Approach to the Specification of High Performing Backpropagation Neural Networks. ICONIP (1) 1997: 412-415