Computational Learning Theory and Neural Networks: A Survey of Selected Topics

摘要: One of the central issues in neural computation is learning capability networks. For computational theory, which concerned with complexity processes general, problems related to networks serve both as a major motivation and testing ground. In this chapter we describe formal models studied theory results that either deal directly or have implications for them, providing an introduction topic subsequent chapters book. The next by W. Maass gives survey further important areas.