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