Neural networks are an exciting technology of growing importance in real
industrial situations, particularly in control and systems. This book
aims to give a detailed appreciation of the use of neural nets in these
applications; it is aimed particularly at those with a control or
systems background who wish to gain an insight into the technology in
the context of real applications.
The book introduces a wide variety of network types, including Kohenen
nets, n-tuple nets and radial basis function networks, as well as the
more usual multi-layer perception back-propagation networks. It begins
by describing the basic principles and some essential design features,
then goes on to examine in depth several application studies
illustrating a range of advanced approaches to the topic.