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May 27, 2016

Learning Soft Computing – university course lecture notes

Filed under: 03. Soft Computing, NIL - All Posts — myreaders @ 7:13 am

Title  :  Learning  Soft  Computing –  university  course  lecture  notes

Ref  URL  :  http://www.myreaders.info/html/soft_computing.html

Access :  Free,  no  registration  required.

Description  :  Topics organized into 9 sections following academic curriculum – Introduction to soft computing, Fundamentals of neural network, Back propagation network, Associative memory, Adaptive resonance theory, Fuzzy set theory, Fuzzy systems, Fundamentals of genetic algorithms, Hybrid systems. (Total 400 pages in 9 pdf files include text, graphics, examples, problems & solutions).

Objectives  :  Free online self explanatory full course learning resources & teaching materials.

Who Should read  :  Beginners, senior students, professionals and researchers.

Author : RC Chakraborty, www.myreaders.info ,  Former Visiting Professor at JUET.

Conditions of Use :  Creative Commons Attribution-Noncommercial-No Derivative Works 2.5 [Ref. http://www.oercommons.org/courses/soft-computing ]

Update on Dec. 20, 2015

Tags : Soft computing, Neural network, Back propagation network, Associative memory, Adaptive resonance theory, Fuzzy set theory, Fuzzy systems, Genetic algorithms, Hybrid systems.

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