IT404

Course Name: 

Artificial Neural Networks (IT404)

Programme: 

B.Tech (IT)

Category: 

Programme Specific Electives (PSE)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Introduction to Artificial Neural Networks , Artificial Neuron Model and Linear Regression, Gradient Descent Algorithm, Nonlinear Activation Units and Learning Mechanisms, Learning Mechanisms, Associative Memory Model, Statistical Aspects of Learning, Single-Layer Perceptron, Least Mean Squares Algorithm, Perceptron Convergence Theorem, Bayes Classifier, Back Propagation Algorithm, Multi-Class Classification Using Multi-layered Perceptrons, Radial Basis Function Network, Introduction to Principal Component Analysis and Independent Component Analysis, Introduction to Self Organizing Maps, Applications and Recent Research Trends

References: 

Simon Haykin, “Neural Networks - A Comprehensive Foundations”, Pearson, 2004
Laurene Fausett: “Fundamentals of Neural Networks: Architectures, Algorithms & Apps.”, Pearson, 2004.
James A. Anderson, “An Introduction to Neural Networks”, MIT press, 1995.
Yegnanarayana: “Artificial Neural Networks”, Prentice Hall of India,2004.

Department: 

Information Technology
 

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

Web Admin: Sowmya Kamath S

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