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--- handouts [2011/10/17 18:54] – nick
+++ handouts [2013/06/26 17:15] (current) – nick
@@ Line 3: / Line 3: @@
 Useful handouts for this course include:
-  * Week One - Fuzzy Sets and Logic
+  * General Course Material
        * {{:how_to_study.pdf|how to study}}
        * {{:paper_writing.pdf|paper writing handout}}
@@ Line 9: / Line 9: @@
        * {{:kr.pdf|knowledge representation handout}}
        * {{:logic.pdf|logic handout}}
+  * Week One - Fuzzy Sets and Logic
        * {{:zadeh65.pdf|Zadeh's original 1965 paper}}
        * {{:zadeh.pdf|Zadeh's 1998 soft computing paper}}
@@ Line 53: / Line 55: @@
         * {{: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}}
@@ Line 66: / Line 69: @@
         * {{: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}}
@@ Line 77: / Line 81: @@
   * Week Five and Six - Evolutionary Computing
+       * {{:0780334817.pdf|Introductory Survey of Evolutionary Computing - Foegel}}
        * {{:ecbiblio.pdf|Evolutionary Computing Bibliography}}
        * {{:ec1.pdf|What is evolutionary computation?}}