From Synapses to Rules

Name: From Synapses to Rules
Brand: Springer Science+Business Media
SKU: 9780306474026
Price: 157.54 EUR
Availability: InStock

Discovering Symbolic Rules from Neural Processed Data

Автор: Bruno Apolloni, Franz Kurfess

Език:

Корици: С твърди корици

Издател: Springer Science+Business Media

Наличност: Външен склад

Изпращаме след 10-13 дни

157.54 € 308.11 лв

"The book aims to propose a theoretical and applicatory framework for extracting formal rules from d...

Информация за книгата

Автор

Bruno Apolloni, Franz Kurfess

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2002

страници

388

EAN

9780306474026

ISBN

0306474026

Enbook ID

01379535

Издател

Springer Science+Business Media

Теглоt

976

Размери

178 x 254 x 27

Пълно описание

"The book aims to propose a theoretical and applicatory framework for extracting formal rules from data. To this end recent approaches in relevant disciplines are examined that bring together two typical goals of conventional Artificial Intelligence and connectionism - respectively, deducing within an axiomatic shell formal rules about a phenomenon and inferring the actual behavior of it from examples - into a challenging inferential framework where we learn from data and understand what we have learned. The goal is to obtain a translation of the subsymbolic structure of the data - stored in the synapses of a neural network - into formal properties described by rules.§To capture this journey from synapses to rules and then render it manageable for real world learning tasks, the contributions deal in depth with the following aspects: i. theoretical foundations of learning algorithms and soft computing; ii. intimate relationships between symbolic and subsymbolic reasoning methods; iii. integration of the related hosting architectures in both physiological and artificial brain. "

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From Synapses to Rules

Discovering Symbolic Rules from Neural Processed Data

Информация за книгата

Пълно описание

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