Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks

5 Jun 2019Mohammad Ibraim SarkerYali NieHong YongkiHyongsuk Kim

A new method to improve the performance of Random weight change (RWC) algorithm based on a simple genetic algorithm, namely, Genetic random weight change (GRWC) is proposed. It is to find the optimal values of global minima via learning... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.