Welcome to the InfoSci Platform
Reference Hub2
Artificial Neural Networks and Learning Techniques

Artificial Neural Networks and Learning Techniques

Pushpendu Kar, Anusua Das
Copyright: © 2016 |Pages: 25
ISBN13: 9781466694798|ISBN10: 1466694793|EISBN13: 9781466694804
DOI: 10.4018/978-1-4666-9479-8.ch009
Cite Chapter Cite Chapter

MLA

Kar, Pushpendu, and Anusua Das. "Artificial Neural Networks and Learning Techniques." Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, edited by Pijush Samui, IGI Global, 2016, pp. 227-251. https://doi.org/10.4018/978-1-4666-9479-8.ch009

APA

Kar, P. & Das, A. (2016). Artificial Neural Networks and Learning Techniques. In P. Samui (Ed.), Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering (pp. 227-251). IGI Global. https://doi.org/10.4018/978-1-4666-9479-8.ch009

Chicago

Kar, Pushpendu, and Anusua Das. "Artificial Neural Networks and Learning Techniques." In Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, edited by Pijush Samui, 227-251. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9479-8.ch009

Export Reference

Mendeley
Favorite

Abstract

The recent craze for artificial neural networks has spread its roots towards the development of neuroscience, pattern recognition, machine learning and artificial intelligence. The theoretical neuroscience is basically converging towards the basic concept that the brain acts as a complex and decentralized computer which can perform rigorous calculations in a different approach compared to the conventional digital computers. The motivation behind the study of neural networks is due to their similarity in the structure of the human central nervous system. The elementary processing component of an Artificial Neural Network (ANN) is called as ‘Neuron'. A large number of neurons interconnected with each other mimic the biological neural network and form an ANN. Learning is an inevitable process that can be used to train an ANN. We can only transfer knowledge to the neural network by the learning procedure. This chapter presents the detailed concepts of artificial neural networks in addition to some significant aspects on the present research work.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.