From Synapses to Rules

Name: From Synapses to Rules
Brand: Springer Science+Business Media
SKU: 9780306474026
Price: 636.01 PLN
Availability: InStock

Discovering Symbolic Rules from Neural Processed Data

Autor: Bruno Apolloni, Franz Kurfess

Język:

Oprawa: Twarda

Wydawca: Springer Science+Business Media

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

636.01 zł

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

Informacje o książce

Autor

Bruno Apolloni, Franz Kurfess

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2002

strony

388

EAN

9780306474026

ISBN

0306474026

Enbook ID

01379535

Wydawca

Springer Science+Business Media

Waga

976

Wymiary

178 x 254 x 27

Pełny opis

"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

Informacje o książce

Pełny opis

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