Training Product-Unit Neural Networks with Cuckoo Optimization Algorithm for Classification

Humar Kahramanli

Abstract

In this study Product-Unit Neural Networks (PUNN) which is the special class of feed-forward neural network, has been trained using Cuckoo Optimization algorithm. The trained model has been applied to two classification problem. BUPA liver disorders and Haberman's Survival Data have been used for application. The both data have been obtained from UCI machine Learning Repository. For comparison Backpropagation (BP) and Levenberg–Marquardt (LM) algorithms have been used. The application results show that the PUNN trained with Cuckoo Optimization algorithm is achieved better classification accuracy.

Keywords

ANN; Classification; Cuckoo algorithm; PUNN.

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Submitted: 2017-08-29 07:00:59
Published: 2017-12-12 13:20:45
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