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.
CITATION STYLE
Yadav, N., Yadav, A., & Kumar, M. (2015). Preliminaries of Neural Networks. In SpringerBriefs in Applied Sciences and Technology (pp. 17–42). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-94-017-9816-7_3
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