Optimasi Training Neural Network Menggunakan Hybrid Adaptive Mutation PSO-BP

Optimasi Training Neural Network Menggunakan Hybrid Adaptive Mutation PSO-BP

Optimization of training neural network using particle swarm optimization (PSO) and genetic algorithm (GA) is a solution backpropagation’s problem. PSO often trapped in premature convergent (convergent at local optimum) and GA takes a long time to achieve convergent and crossover makes worse the...

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Bibliographic Details
Main Authors: Salnan Ratih Asriningtias, Harry Soekotjo Dachlan, Erni Yudaningtyas
Format: Article
Language:English
Published: Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya 2015-08-01
Series:Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)
Online Access:https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/288

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