New Trends in Neural Computation

Neural computation arises from the capacity of nervous
tissue to process      information and accumulate knowledge in an
intelligent manner. Conventional computational machines have
encountered enormous difficulties in duplicatingsuch
functionalities. This has given rise to the development                        of
Artificial Neural Networks where computation is distributed
over a   great number of local processing elements with a high
degree of connectivityand in which external programming is
replaced with supervised and               unsupervised learning.
The papers presented in this volume are carefully      reviewed
versions of the talks delivered at the International
Workshop   on Artificial Neural Networks (IWANN '93) organized
by the Universities of   Catalonia and the Spanish Open
University at Madrid and held at Barcelona,   Spain, in June
1993. The 111 papers are organized in seven                           sections:
biological perspectives, mathematical models,                              learning,
self-organizing networks, neural software,                                    hardware
implementation, and applications (in five subsections:
signal   processing and pattern recognition, communications,
artificial vision,         control and robotics, and other
applications).