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Differential Evolution for Neural Networks Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Differential evolution as the global optimization technique and its application to structural optimization
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Differential Evolution algorithms applied to Neural Network training suffer from stagnation
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Neural network classifier optimization using Differential Evolution with Global Information and Back Propagation algorithm for clinical datasets
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Recent advances in differential evolution – An updated survey
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Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
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Differential Evolution Training Algorithm for Feed-Forward Neural Networks
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Learning representations by back-propagating errors
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Success-history based parameter adaptation for Differential Evolution
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Linear Ordering Optimization with a Combinatorial Differential Evolution
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Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems
inferredcites →https://doi.org/10.1109/tevc.2008.2009457openalex-snapshot
Differential Evolution Using a Neighborhood-Based Mutation Operator
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Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks
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ImageNet classification with deep convolutional neural networks
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Differential-Evolution-Based Coevolution Ant Colony Optimization Algorithm for Bayesian Network Structure Learning
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Differential Evolution: A Survey and Analysis
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Combinatorial multi-armed bandit and its extension to probabilistically triggered arms
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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