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Learning Machines: Foundations of Trainable Pattern-Classifying Systems

Nils J. Nilsson
4.9/5 (10972 ratings)
Description:A learning machine, broadly defined, is any device whose actions are influenced by past experiences. The present work deals with the theory of a subclass of learning machines, those which can be trained to recognize patterns. Some well known examples of trainable pattern-classifying systems the PERCEPRON and MADALINE and MINOS networks.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learning Machines: Foundations of Trainable Pattern-Classifying Systems. To get started finding Learning Machines: Foundations of Trainable Pattern-Classifying Systems, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
137
Format
PDF, EPUB & Kindle Edition
Publisher
McGraw-Hill
Release
ISBN
0070465703

Learning Machines: Foundations of Trainable Pattern-Classifying Systems

Nils J. Nilsson
4.4/5 (1290744 ratings)
Description: A learning machine, broadly defined, is any device whose actions are influenced by past experiences. The present work deals with the theory of a subclass of learning machines, those which can be trained to recognize patterns. Some well known examples of trainable pattern-classifying systems the PERCEPRON and MADALINE and MINOS networks.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learning Machines: Foundations of Trainable Pattern-Classifying Systems. To get started finding Learning Machines: Foundations of Trainable Pattern-Classifying Systems, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
137
Format
PDF, EPUB & Kindle Edition
Publisher
McGraw-Hill
Release
ISBN
0070465703
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