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Next: Introduction to Neural Networks



  • Introduction to Neural Networks
    • Biological and artificial networks
    • Paradigms of Learning
    • Hebb's Learning
    • Hopfield Network
    • Perceptron Learning
    • Back Propagation Network
      • Summary of BP training
      • Error back propagation
    • The AdaBoost Algorithm
    • Radial-Basis Function (RBF) Networks
    • Competitive Learning Networks
      • Competitive Learning
      • Self-Organizing Map (SOM)
      • Self-organizing property of the SOM
      • Learning Vector Quantization (LVQ)
    • Support Vector Machines (SVM)
      • Linear separation of a feature space
      • Support Vector Machine
      • Kernel Mapping

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