Adaptive training for connectionist state machines

Parallel 'neural' algorithms such as back-propagation[8] have attracted a great deal of interest because of their apparent potential for learning complex pattern recognition tasks. However the basic algorithms have no temporal components, although many of the problems to which they could be applied do have temporal aspects. One strategy for introducing… (More)