Mathematical Perspectives on Neural Networks (Developments in Connectionist Theory Series) - Image 1

£198.11

Psychology Press Mathematical Perspectives on Neural Networks (Developments in Connectionist Theory Series)

Name: Mathematical Perspectives on Neural Networks (Developments in Connectionist Theory Series)
Brand: Psychology Press
Price: 198.11 GBP
Availability: InStock

Architecture & Microprocessors

About as cheap as it gets. The only time it was cheaper was 2 years ago.

£198 today · all-time low £192 (Jun 2024) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 585 days • 585 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 585 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £192 (267 days, 45.6%)

Price range: £192 - £201

Price levels: 5 different prices over 585 days

Description

Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as: * Exactly what mathematical systems are used to model neural networks from the given perspective? * What formal questions about neural networks can then be addressed? * What are typical results that can be obtained? and * What are the outstanding open problems? A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.

Key Features

Used Book in Good Condition

Product Specifications

Brand: Psychology Press
Format: hardcover
ASIN: 0805812016
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 01 June 1996
Listed Since: 16 February 2007

Barcode

No barcode data available

Psychology Press Mathematical Perspectives on Neural Networks (Developments in Connectionist Theory Series)

About as cheap as it gets. The only time it was cheaper was 2 years ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Information-Theoretic Aspects of Neural Networks

Dealing with Complexity: A Neural Networks Approach (Perspectives in Neural Computing)

Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, ... (Lecture Notes in Computer Science, 3973)

Advances in Neural Networks: 5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I: 5263 (Lecture Notes in Computer Science, 5263)

Advances in Neural Networks - ISNN 2008: 5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, ... (Lecture Notes in Computer Science, 5264)

Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I: 3173 (Lecture Notes in Computer Science, 3173)

Pattern Recognition with Neural Networks in C++

Wiley Nonlinear Dynamical Systems - Feedforward Neural Networks

Advances in Neural Network Research and Applications: 67 (Lecture Notes in Electrical Engineering, 67)

Springer Advances in Neural Networks - ISNN 2004 Proceedings

Intro to Modeling Neural Networks: 0002 (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)

Neural Networks and Animal Behavior (Monographs in Behavior and Ecology)

Advances in Neural Computation, Machine Learning, and Cognitive Research IV: Selected Papers from the XXII International Conference on ... (Studies in Computational Intelligence, 925)

Advances in Neural Computation, Machine Learning, and Cognitive Research II: Selected Papers from the XX International Conference on Neuroinformatics, ... (Studies in Computational Intelligence, 799)

Neural Networks and Animal Behavior (Monographs in Behavior and Ecology): (Monographs In Behavior And Ecology): 29

Advances in Neural Networks -- ISNN 2010: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, ... (Lecture Notes in Computer Science, 6064)

Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python

Artificial Neural Networks in Biological and Environmental Analysis (Analytical Chemistry)

Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I: 5768 (Lecture Notes in Computer Science, 5768)

Recent Advances in Artificial Neural Networks: Design and Applications

Springer Innovations in Neural Information Paradigms - Vol 247

Principles Of Artificial Neural Networks (3rd Edition): 7 (Advanced Series In Circuits And Systems)

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics: 4 (Springer Series in Bio-/Neuroinformatics, 4)

Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770)