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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