Computation, Learning, and Architectures

Download or Read eBook Computation, Learning, and Architectures PDF written by and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle.

Author	:
Publisher	:
Total Pages	:
Release	: 1992
ISBN-10	: 0127412522
ISBN-13	: 9780127412528
Rating	: 4/5 (22 Downloads)

DOWNLOAD EBOOK

Book Synopsis Computation, Learning, and Architectures by :

Book excerpt:

Computation, Learning, and Architectures Related Books

Language: en
Pages:

Computation, Learning, and Architectures

Authors:

Categories:

Type: BOOK - Published: 1992 - Publisher:

DOWNLOAD EBOOK

Language: en
Pages: 543

Neural Networks for Perception

Authors: Harry Wechsler

Categories: Computers

Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation

Language: en
Pages: 409

Modelling Perception with Artificial Neural Networks

Authors: Colin R. Tosh

Categories: Science

Type: BOOK - Published: 2010-06-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrin

Language: en
Pages: 199

Neural Network Perception for Mobile Robot Guidance

Authors: Dean A. Pomerleau

Categories: Technology & Engineering

Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Dean Pomerleau's trainable road tracker, ALVINN, is arguably the world's most famous neural net application. It currently holds the world's record for distance

Language: en
Pages: 550

Neural Networks for Perception: Human and machine perception

Authors: Harry Wechsler

Categories: Computers

Type: BOOK - Published: 1992 - Publisher:

DOWNLOAD EBOOK

The second comprehensive volume of Wechsler's series explores recent research in in neural networks that has advanced our understanding of human and machine per