CS408: Advanced Artificial Intelligence

4.2: Neural Network

• 4.2.1: Introduction to Neural Networks

  • Wolfram: "Introduction to Neural Networks” n>

    Read this section to learn about general neural networks and how they are mathematically defined.
    

• 4.2.2: Feedforward Neural Networks

  • Wolfram: "Feedforward Neural Networks"

    Read this section, which covers the Feedforward Neural Network. Make sure you understand this network's mathematical definition and that you study the figures in this article.
    

• 4.2.3: Radial Basis Function Networks

  • Wolfram: "Radial Basis Function Networks"

    Read this section, which covers the Radial Basis Function Network. Make sure you understand the network's mathematical definition and be sure to study the figures in this article.
    

• 4.2.4: The Perceptron

  • Wolfram: "The Perceptron"

    Read this section about Perceptron. Be sure to understand its mathematical definition, learn the training algorithm, and study the figures.
    

• 4.2.5: Vector Quantization (VQ) Networks

  • Wolfram: "Vector Quantization Networks"

    Read this section about the Vector Quantization network.
    

• 4.2.6: Hopfield Network

  • Wolfram: "Hopfield Network"

    Read this section, which presents the Hopfield network and the equations that describe it.