Hybrid neural network and pattern classification learning algorithms

Some key research issues in learning for feedforward networks are addressed. Some results from learning from examples are discussed, and how this relates to learning in networks is pointed out. Some limitations of algorithms and alternative strategies that involve changing network architectures or input data transformations are discussed. An example of how a self-organizing feature map can be used in conjunction with a feedforward network to achieve good results in isolated word recognition is given