Learning by neural networks
parallel distributed processing
back propagation error learning
generalized delta rule
traveling salesperson problem
Markovian random field
massively parallel computation
In this chapter, we describe algorithms for learning using neural networks. A neural network is a kind of computation system in which a state of the system is represented as a numerical distribution pattern with many processing units and connections among ...