Learning Algorithms

Learning is a central problem for neural and synergetic computers and in this chapter we shall present a number of learning algorithms. As we have seen in previous chapters, patterns are stored in the form of vectors v _k . In order to perform pattern recognition, the formalism requires that the adjoint vectors v _k + are known. These v _k + occur in different ways depending on whether the formalism is realized on a serial computer or on a network. In a serial computer we have to form the scalar products (v _k +q) as is evident from the basic equation (5.11). The same projection is needed when the computer consists of a parallel network with three layers, as shown in Figs. 7.2 and 7.3.