Courseware : Soft Computing
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Courseware : Soft Computing


Courseware : Soft Computing

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Soft Computing : Course lectures, hours 42. There are 9 pdf files, total 398 pages. Topics : 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.
Material Type: Online Course
Technical Format: PDF
Date Added to MERLOT: April 27, 2010
Date Modified in MERLOT: November 28, 2011
Keywords: Genetic Algorithms, Fuzzy Systems, Associative Memory, Textbooks., BPN, Hybrid Systems, Introduction, ART, Soft Computing, lecture slides, Neural Network, Back Propagation Network, Adaptive Resonance Theory, Fuzzy Set Theory


  • Reviewed by members of Editorial board for inclusion in MERLOT.
    Editor Review
    Very good quality; in queue to be peer reviewed
    avg: 5 rating
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Primary Audience: Graduate School, Professional
Mobile Compatibility: Not specified at this time
Technical Requirements: Skills required : For those who have completed the earlier course on Artificial Intelligence. They must know : Problem solving - search and control strategies; Knowledge representation issues - predicate logic, rules; Reasoning system - symbolic, statistical; Learning systems; and Expert systems.

Language: English
Material Version: Last updated on Jan. 10, 2010
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States


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