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handouts [2011/09/27 13:02] nickhandouts [2013/06/26 17:15] (current) nick
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 Useful handouts for this course include: Useful handouts for this course include:
  
-  * Week One - Fuzzy Sets and Logic+  * 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}}        * {{:zadeh.pdf|Zadeh's 1998 soft computing paper}}
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         * {{:neural_network_-_wikipedia_the_free_encyclopedia.pdf|neural networks}}         * {{:neural_network_-_wikipedia_the_free_encyclopedia.pdf|neural networks}}
         * {{:artic.pdf|What is a Neural Network}}         * {{:artic.pdf|What is a Neural Network}}
 +        * {{:ann_-_math_model.pdf|Neural Network - simplified mathematical model}}
 +        * {{:chapter3_-_bp.pdf|the backpropagation algorithm}}
 +        * {{:sutton-86.pdf|two problems with bp - richard sutton}}
 +        * {{:nn_tutorial.pdf|Intro to Neural Networks Video}}
 +        * {{:report.pdf|Succinct Intro to Neural Networks}}
         * {{:sciam92.pdf|How Neural Networks Learn from Experience}}         * {{:sciam92.pdf|How Neural Networks Learn from Experience}}
         * {{:faq.pdf||FAQ about Neural Networks}}         * {{:faq.pdf||FAQ about Neural Networks}}
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         * {{:ai.pdf|Ensembling Neural Networks: Many Could Be Better Than All}}         * {{:ai.pdf|Ensembling Neural Networks: Many Could Be Better Than All}}
         * {{:byte-hiddenlayer-1989.pdf|What's Hidden in the Hidden Layers}}         * {{:byte-hiddenlayer-1989.pdf|What's Hidden in the Hidden Layers}}
 +
 +  * Week Four+ - Some Useful write-ups on important Topics
 +        * {{:simulated_annealingw.pdf|simulated annealing}}
 +        * {{:basic_neural_networks.pdf|basic intro to 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}}
 +        * {{:hill_climbinbg.pdf|hill climbing}}
 +        * {{:tabu_search.pdf|tabu search}}
 + 
 +  * Week Four+ - Some Useful Papers on important Topics
 +        * {{:simulated_annealing.pdf|simulated annealing}}
 +        * {{:kgv1983.pdf|Optimization by Simulated Annealing}}
 +        * {{:04048399.pdf|A tutorial survey of theory and applications of simulated anealing}}
 +        * {{:hillclimb02.pdf|Intro to hill climbing slides}}
  
   * 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?}}
handouts.1317128530.txt.gz · Last modified: 2011/09/27 13:02 by nick

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