Effects of the Neuron Permutation Problem on Training Artificial Neural Networks with Genetic Algorithms

DOI10.1007/978-3-319-57099-0_90zbMath1391.82019OpenAlexW2606522344MaRDI QIDQ5275038

Iliyan Zankinski

Publication date: 7 July 2017

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-57099-0_90

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Finite difference methods applied to problems in optics and electromagnetic theory (78M20) Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory (78M10) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20)

Cites Work

• Genetic set recombination and its application to neural network topology optimisation.
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