Differential Evolution for Neural Networks Optimization
Differential Evolution for Neural Networks Optimization is a scholarly work, published in 2020 in ''Mathematics''. The main subjects of the publication include control system, differential, mathematical optimization, backpropagation, artificial intelligence, mutation, crossover (genetic algorithm), genetic algorithm, artificial neural network, adaptive mutation, computer science, swarm intelligence, algorithm, and differential evolution. Experimental results show that DENN reaches good performances in terms of accuracy, better than or at least comparable with those obtained by backpropagation..