Knowledge Base Reasoning based on Artificial Neural Network

Name: Knowledge Base Reasoning based on Artificial Neural Network
Brand: LAP Lambert Academic Publishing
SKU: 9786137348406
Price: 17123 HUF
Availability: InStock

Ishik University

Szerző: Qaysar Mahdi, M. Sc. Safeen Hassan Rasul

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

17 123 Ft

The main aim of this book is to introduce the knowledge base reasoning using artificial intelligence...

Információk a könyvről

Szerző

Qaysar Mahdi, M. Sc. Safeen Hassan Rasul

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

104

EAN

9786137348406

Enbook ID

19064484

Kiadó

LAP Lambert Academic Publishing

Súly

173

Méretek

150 x 220 x 6

Teljes leírás

The main aim of this book is to introduce the knowledge base reasoning using artificial intelligence in computer science. This book provides a proposed system that represents two important topics: a propositional logic and non-classical logic. Then represents them in artificial neural network so that to provide an easy way for reasoning and making a hybrid system. The first part of this work uses a Connectionist Inductive Learning and Logic Programming, (CILP) algorithm which is a method that translates a propositional logic to a three layers neural network. The second part of the book uses a Connectionist Modal Logic (CML) algorithm. This algorithm acts as an extension language added to a logic program to represent a non-classical logic program. This will add an ability to interconnect a number of possible words, stationeries, clusters, logic programs and so on to make representing of real world more accurate than poor propositional logic. The proposed system has been applied successfully on all tested logic programs. It proves that the neural network can represent logic language and have ability to reason rather than handling a missing data in absence of background knowledge.

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Knowledge Base Reasoning based on Artificial Neural Network

Ishik University

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