Building Knowledge-Based Systems for Natural Resource Management

Name: Building Knowledge-Based Systems for Natural Resource Management
Brand: Chapman and Hall
SKU: 9780412019210
Price: 63409 HUF
Availability: InStock

Szerző: Daniel L. Schmoldt, H. Michael Rauscher

Nyelv:

Kötés: Kemény kötésű

Kiadó: Chapman and Hall

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

63 409 Ft

This is the first book to provide a detailed process for planning, designing, implementing, and test...

Információk a könyvről

Szerző

Daniel L. Schmoldt, H. Michael Rauscher

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1996

oldal

386

EAN

9780412019210

ISBN

0412019213

Enbook ID

01385896

Kiadó

Chapman and Hall

Súly

1660

Méretek

155 x 235 x 24

Teljes leírás

This is the first book to provide a detailed process for planning, designing, implementing, and testing knowledge-based systems for natural resource management. It presents material on all these major aspects of building a deliverable system. Equipped with these techniques, managers and scientists will improve their ability to solve complex resource problems that are multidisciplinary in scope and for which mathematical approaches prove insufficient. Fully describing the various components of these systems, this important work includes discussions on system design, knowledge acquisition, prototyping, knowledge verification and validation, implementation, and system delivery. To further illuminate the material presented, it contains a tutorial on the knowledge-based programming environment PROLOG as well as many examples of expert system development, including one for forest management. Building Knowledge-Based Systems for Natural Resource Management demonstrates how knowledge can be effectively organized and administered, enabling natural resource professionals to respond intelligently to natural resource problems. This book also provides researchers and students with an essential resource for understanding this useful technology.

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Building Knowledge-Based Systems for Natural Resource Management

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