Peste 4 milioane de titluri în engleză și alte limbi! Descoperă-ți noua poveste astăzi!

ICANN '93

Name: ICANN '93
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540198390
Price: 275.71 RON
Availability: InStock

Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13-16 September 1993

Autor: Stan Gielen, Bert Kappen

Limbă:

Legare: Carte broșată

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

Expediem în 5-8 zile

275.71 lei

This book contains the proceedings of the International Confer ence on Artificial Neural Networks wh...

Informații despre carte

Autor

Stan Gielen, Bert Kappen

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

1993

Pagini

1095

EAN

9783540198390

ISBN

3540198393

Enbook ID

02710634

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

1662

Dimensiuni

155 x 235 x 50

Descriere completă

This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that applications in the fields of artificial intelligence and robotics will benefit from a good understanding of the neural information processing properties that underlie human intelligence. Essential aspects of neural information processing are highly parallel execution of com putation, integration of memory and process, and robustness against fluctuations. It is believed that intelligent skills, such as perception, motion and cognition, can be easier realized in neuro-computers than in a conventional computing paradigm. This requires active research in neurobiology to extract com putational principles from experimental neurobiological find ings, in physics and mathematics to study the relation between architecture and function in neural networks, and in cognitive science to study higher brain functions, such as language and reasoning. Neural networks technology has already lead to practical methods that solve real problems in a wide area of industrial applications. The clusters on robotics and applications contain sessions on various sub-topics in these fields.