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Preliminaries of Neural Networks

  • Neha YadavEmail author
  • Anupam Yadav
  • Manoj Kumar
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

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.

Keywords

Neural network Feed forward Recurrent network Particle swarm optimization Genetic algorithm Backpropagation algorithm 

Copyright information

© The Author(s) 2015

Authors and Affiliations

  1. 1.Department of Applied SciencesITM UniversityGurgaonIndia
  2. 2.Department of Sciences and HumanitiesNational Institute of Technology UttarakhandSrinagarIndia
  3. 3.Department of MathematicsMotilal Nehru National Institute of TechnologyAllahabadIndia

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