Abstract
In this chapter brief introduction to neural network has been given along with some basic terminologies. We explain the mathematical model of neural network in terms of activation functions. Different architectures of neural network like feed forward, feed backward, radial basis function network, multilayer perceptron neural network and cellular network etc., is described. Backpropagation and other training algorithms have been also discussed in this chapter.
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Yadav, N., Yadav, A., Kumar, M. (2015). Preliminaries of Neural Networks. In: An Introduction to Neural Network Methods for Differential Equations. SpringerBriefs in Applied Sciences and Technology(). Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9816-7_3
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DOI: https://doi.org/10.1007/978-94-017-9816-7_3
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Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9815-0
Online ISBN: 978-94-017-9816-7
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