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handouts [2011/10/17 18:54] – nickhandouts [2013/11/14 14:33] (current) – nick
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 Useful handouts for this course include: Useful handouts for this course include:
  
-  * Week One - Fuzzy Sets and Logic+  * Things You Should Know - General Course Material
        * {{:how_to_study.pdf|how to study}}        * {{:how_to_study.pdf|how to study}}
        * {{:paper_writing.pdf|paper writing handout}}        * {{:paper_writing.pdf|paper writing handout}}
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        * {{:kr.pdf|knowledge representation handout}}        * {{:kr.pdf|knowledge representation handout}}
        * {{:logic.pdf|logic handout}}        * {{:logic.pdf|logic handout}}
 +  
 +  * Week One - Fuzzy Sets and Logic
        * {{:zadeh65.pdf|Zadeh's original 1965 paper}}        * {{:zadeh65.pdf|Zadeh's original 1965 paper}}
-       * {{:zadeh.pdf|Zadeh's 1998 soft computing paper}}+       * {{:the_fuzzy_logic_concept.pdf|The fuzzy logic concept}} 
 +       * {{:zadeh.pdf|Zadeh's 1998 soft computing paper}}{{indexmenu_n>1}}
        * {{:fuzzy_logic.stanford.pdf|fuzzy logic tutorial 1}}        * {{:fuzzy_logic.stanford.pdf|fuzzy logic tutorial 1}}
        * {{:fuzzytutorial.pdf|fuzzy logic tutorial 2}}        * {{:fuzzytutorial.pdf|fuzzy logic tutorial 2}}
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         * {{:artic.pdf|What is a Neural Network}}         * {{:artic.pdf|What is a Neural Network}}
         * {{:ann_-_math_model.pdf|Neural Network - simplified mathematical model}}         * {{:ann_-_math_model.pdf|Neural Network - simplified mathematical model}}
 +        * {{:chapter3_-_bp.pdf|the backpropagation algorithm}}
         * {{:sutton-86.pdf|two problems with bp - richard sutton}}         * {{:sutton-86.pdf|two problems with bp - richard sutton}}
         * {{:nn_tutorial.pdf|Intro to Neural Networks Video}}         * {{:nn_tutorial.pdf|Intro to Neural Networks Video}}
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         * {{:basic_neural_networks.pdf|basic intro to neural networks}}         * {{:basic_neural_networks.pdf|basic intro to neural networks}}
         * {{:bp_neural_networks.pdf|when to use (or not) bp neural networks}}         * {{:bp_neural_networks.pdf|when to use (or not) bp neural networks}}
 +        * {{:basic_ngenetic_algorithm.pdf|tutorial - basic genetic algorithm in plain english}}
         * {{:greedy_algorithm.pdf|greedy algorithm}}         * {{:greedy_algorithm.pdf|greedy algorithm}}
         * {{:hill_climbinbg.pdf|hill climbing}}         * {{:hill_climbinbg.pdf|hill climbing}}
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   * Week Five and Six - Evolutionary Computing   * Week Five and Six - Evolutionary Computing
 +       * {{:0780334817.pdf|Introductory Survey of Evolutionary Computing - Foegel}}
        * {{:ecbiblio.pdf|Evolutionary Computing Bibliography}}        * {{:ecbiblio.pdf|Evolutionary Computing Bibliography}}
        * {{:ec1.pdf|What is evolutionary computation?}}        * {{:ec1.pdf|What is evolutionary computation?}}
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        * {{:newell2.pdf|Rule-Based Expert Systems: The MYCIN Experiments}}        * {{:newell2.pdf|Rule-Based Expert Systems: The MYCIN Experiments}}
        * {{:sdarticle.pdf|Integration Architecture of Expert Systems, Neural Networks, Hypertext, and Multimedia}}        * {{:sdarticle.pdf|Integration Architecture of Expert Systems, Neural Networks, Hypertext, and Multimedia}}
-       * {{:markov.pdf|Markov Algorithms}}+       * {{:markov1.pdf|Markov Algorithms}}
  
    
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        * {{:camwa2008pp.pdf|Rough Sets Theoretical and Computational Hybrid Intelligent System for Survival Analysis}}        * {{:camwa2008pp.pdf|Rough Sets Theoretical and Computational Hybrid Intelligent System for Survival Analysis}}
        * {{|Finding Local Structural Differences between a Normal and Tumor Graph}}        * {{|Finding Local Structural Differences between a Normal and Tumor Graph}}
- 
  
  
handouts.1318877649.txt.gz · Last modified: by nick