{"id":1860,"date":"2020-01-10T12:03:47","date_gmt":"2020-01-10T17:03:47","guid":{"rendered":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/?page_id=1860"},"modified":"2020-02-20T11:38:31","modified_gmt":"2020-02-20T16:38:31","slug":"ise789-soft-computing","status":"publish","type":"page","link":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/courses\/ise789-soft-computing\/","title":{"rendered":"ISE789 Soft Computing"},"content":{"rendered":"\n

ISE 789: Soft Computing<\/h2>\n\n\n\n
<\/div>\n\n\n\n Syllabus<\/span>\n \n \n \n \n <\/path><\/svg><\/span>\n<\/a>\n\n\n\n References<\/span>\n \n \n \n \n <\/path><\/svg><\/span>\n<\/a>\n\n\n\n
<\/div>\n\n\n\n

Lecture Notes<\/h3>\n\n\n\n

Soft Computing<\/p>\n\n\n\n

NN Chapter 1   |   NN Chapter 2   |   GA Chapter 1   |   GA Chapter 2 <\/p>\n\n\n\n

Simulated Annealing   |   Tabu Search   |   Tropical Cyclone-based Method   |   Electromagnetic Method <\/p>\n\n\n\n

Fuzzy Introduction   |   Fuzzy Short Course   |   Building Fuzzy Expert Systems <\/p>\n\n\n\n

Fuzzy Regression   |   Fuzzy Relation Equation   |   Fuzzy Clustering <\/p>\n\n\n\n

<\/div>\n\n\n\n

Supplemental Material <\/h3>\n\n\n\n
  • Approximation by Superpositions of a Sigmoidal Function<\/li>
  • Multilayer Feedforward Networks With A Non-polynomial Activation Function Can Approximate Any Function<\/li>
  • Relaxed conditions for radial-basis function networks to be universal approximators<\/li>
  • Universal Approximation Using Radial-Basis-Function Networks<\/li>
  • An Introduction To Computing With Neural Nets<\/li>
  • A neural network model with bounded-weights for pattern classification<\/li>
  • Solving Convex Programming Problems with Equality Constraints by Neural Networks<\/li>
  • Neurocomputing with Time Delay Analysis for Solving Convex Quadratic Programming Problems<\/li>
  • Efficient Neural Network Learning using Second Order Information with Fuzzy Control<\/li>
  • Sequencing parallel machining operations by genetic algorithms<\/li>
  • A genetic-based framework for solving (multi-criteria) weighted matching problems<\/li>
  • A Genetic Algorithm Approach to Solving DNA Fragment Assembly Problem<\/li>
  • A tropical cyclone-based method for global optimization<\/li>
  • An electromagnetism-like mechanism for global optimization<\/li>
  • On the convergence of a population-based global optimization algorithm<\/li>
  • Ant colony optimization theory: A survey| Ant colony optimization<\/li>
  • Particle swarm optimization<\/li>
  • Induction of fuzzy rules and membership functions from training examples<\/li>
  • Expert System | Induction of fuzzy rules and membership functions<\/li>
  • Fuzzy Regression | Fuzzy Clustering | Fuzzy Relational Equation<\/li><\/ul>\n\n\n\n
    <\/div>\n\n\n\n

    Homework<\/h3>\n\n\n\n

    Assignment #1   |   Assignment #2   |   Assignment #3   |   Assignment #4 <\/p>\n\n\n\n

    Assignment #5   |   Assignment #6   |   Assignment #7   |   Assignment #8 <\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Project<\/h3>\n\n\n\n

    Project requirements
    Optional Project <\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Exams<\/h3>\n\n\n\n

    (Last week of March)<\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Course Grade <\/h3>\n\n\n\n
    <\/div>\n","protected":false},"excerpt":{"rendered":"

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