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PrefaceThis book contains the proceedings of the International Conference on Artificial Neural Networks which was held between May 26 and 291994 in Sorrento, organized by the Department of Theoretical Physics of the University of Salerno, IIASS and the Istituto Italiano per gli Studi Filosofici (Napoli), and cosponsored by ENNS, JNNS, IEEE and SIREN. It is the fourth in a series after Helsinki (1991), Brighton (1992) and Amsterdam (1993). The conference is the main event of the European Neural Network Society, which is fostering the growth of the interdisciplinary community ofEuropean researchers and supporting the interaction and cooperation with other international societies in the same scientific area.Neural network is a living proof that the re-birth in science is possible. The first life was driven by a handful of pioneers who, in the fifties and early sixties, discovered the analogies between machines and biological systems as regards communication, control, computing. In a sense, this was not completely new, and we are sure that the mechanical toys of the eighteenth century are a beautiful although naive witness of its illuministic roots. However, the idea was a daring one, and the technological! methodological constraints of the time did not allow it to flourish and trigger a virtuous growth cycle through significant successes in the real world.We are now in the second life. Computation is cheap; software tools are powerful; mathematical tools, developed by computer-aware people, accumulated steadily. Moreover, the brain is less of a black box and can teach us some things. Researchers in many fields have demonstrated in the last decades that they are willing to try again: mathematicians, physicists, psychologists, neuroscientists, and, last but not least engineers who have the crucial task to prove the feasibility of the field and make things work. Of course, there is hype, not all promises will be maintained, but even if only 10% of them succeed, as is happening now in many application areas, this will allow the second wave to expand and consolidate. We can forsee the limits, mainly due to technology, and we can already guess the real breakthroughs, which will make the third wave possible and make neural networks as pervasive as are microcomputers now, will happen when new materials, self-organizing, adaptable wet-ware become available. For all these reasons it is mostly appropriate to dedicate this conference to Eduardo R. Caianiello, one of the pioneers of the first wave and an eminent researcher of the second one. Eduardo R. Caianiello, who was also ...