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Neural Network Programming with Java by Fábio M. Soares, Alan M.F. Souza

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Chapter 3. Handling Perceptrons

In this chapter, we are going to explore one of the most popular and basic types of neural network architecture: the perceptrons. This chapter also presents their extended generalized version, the so-called multilayer perceptrons, as well as their features, learning algorithms, and parameters. Also, the reader will learn how to implement them in Java and how to use them for solving some basic problems:

  • Perceptrons
    • Applications and limitations
  • Multilayer perceptrons
    • Classification
    • Regression
  • Backpropagation algorithm
  • Java implementation
  • Practical problems

Studying the perceptron neural network

Perceptron is the most simple neural network architecture. Projected by Frank Rosenblatt in 1957, it has just one layer of neurons, ...

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