A Review on Applications of Genetic Algorithm For Artificial Neural Network
Artificial neural networks (ANN) can be used as automatic classifiers of faults in machines, reducing errors due to
human misinterpretation. Multilayer Perceptron neural networks (MLP) are a popular type of ANN due totheir simplicity
and efficiency. Genetic Algorithms (GA) can be combined with MLP-ANN to optimize the classification through selection
and training. This paper reviews and discusses the applications of GA with ANN and the future scope of applying GA for the
training of ANN based machinery fault diagnosis in order to fill the gaps of traditional Back Propagation algorithm (BP).
Keywords- Artificial Neural Network, Genetic Algorithm, Multilayer Perceptron, Back Propagation, Training Algorithm.