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Network of Excellence in Neural Networks

Objective

The industrial applicability of neural networks is being increasingly realised world-wide, covering applications in all the major industries under the headings of control, time-series analysis, pattern recognition and decision-making. Problems for which there are no specific rules, and which are hard for other techniques to solve, are particularly suited to the neural network approach. It is becoming increasingly interdisciplinary, with interests from engineering, computer science, physics, mathematics, chemistry, neurophysiology, psychology and others.

NEURONET aims to increase industrial awareness of neural network research activity; reduce duplication of research effort by better contact between groups; increase awareness of new theoretical results/hardware developments by application groups; increase applications of neural networks by industry to solve difficult problems; construct a general theoretical framework of neural networks to allow more effective construction of specialised networks to solve specific industrial problems, and enable faster implementation in software simulators and hardware devices of these more effective networks and deeper theoretical criteria.

The structure of NEURONET will consist of a Coordinating Node and 10 managing nodes. Each managing node will act as a centre for contacting and collaborating associate and industrial nodes, primarily in its local geographical area. NEURONET will be managed overall by an executive board, with committees handling human resources, research collaboration and planning, machine resources and industrial relations. Information will be disseminated through the network by e-mail, a newsletter and directories. Contacts will be made with ongoing EU neural network projects and with other related Networks of Excellence. Industrial penetration will be especially active, with collaborative links being made through industrial nodes. This will also be attempted through direct targeting of companies in specific industries as well as through the Newsletter, and through contacts in Government and large industrial companies in each of the European countries.

Coordinator

KING'S COLLEGE LONDON
Address
St. Thomas' Street - Guy's Hospital - 3° Floor Ne
SE1 9RT London
United Kingdom

Participants (11)

ASOCIACION PARA EL DESARROLLO DE LA INGENIERIA DEL CONOCIMIENTO
Spain
Address
U.a.m. Cantoblanco, Mod C Xvi
28049 Madrid
HELSINKI UNIVERSITY OF TECHNOLOGY
Finland
Address
Otakaari, 1
SF-02150 Espoo
KUNGLIGA TEKNISKA HOGSKOLAN
Sweden
Address
Vallhallavagen, 79
S-100 44 Stockholm
National Technical University of Athens
Greece
Address
Heroon Polytechniou 9
15773 Zographou, Athens
Rheinische Friedrich-Wilhelms-Universität Bonn
Germany
Address
Romerstraße 164
53117 Bonn
SIEMENS HL
Germany
Address
Wittelsbacherplatz
8000 München
TECHNICAL UNIVERSITY OF DENMARK
Denmark
Address
Building, 101
2800 Lyngby
UNIVERSITA DEGLI STUDI DI GENOVA
Italy
Address
Via Opera Pia 11 A
16145 Genova
UNIVERSITE LIBRE DE BRUXELLES
Belgium
Address
Av. F. Roosvelt, 50
1050 Bruxelles
UNIVERSITY OF NIJMEGEN
Netherlands
Address
Toernooiveld, 1
Nijmegen
Université de Paris VI (Université Pierre et Marie Curie)
France
Address
4 Place Jussieu
75005 Paris