Approximating Number of Hidden layer neurons in Multiple Hidden Layer BPNN Architecture
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2012 by IJETT Journal | ||
| Volume-3 Issue-6 |
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| Year of Publication : 2012 | ||
| Authors : Saurabh Karsoliya |
Citation
Saurabh Karsoliya. "Approximating Number of Hidden layer neurons in Multiple Hidden Layer BPNN Architecture". International Journal of Engineering Trends and Technology (IJETT). V3(6):714-717 Nov-Dec 2012. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Hidden layers plays a vital role in the performance of Back Propagation Neural Network especially in the case where problems related to arbitrary decision boundary to arbitrary accuracy with rational activation functions are encountered. Also, multiple hidden layer can approximate any smooth mapping to any accuracy . The process of deciding the number of hidden layers and number of neurons in each hidden layer is still confusing. In this paper , an survey is made in order to resolved the problem of number of neurons in each hidden layer and the number of hidden layers required
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Keywords
Neural Network , BPNN, Hidden Layer, Neurons,