Two New Books

[Tony Browne]

Two New Books on Neural Networks

Volume 1: Neural Network Perspectives on Cognition and Adaptive 
Robotics
A. Browne (Ed.). Institute of Physics Press, Bristol, UK.
ISBN 0-7503-0455-3

Volume 2: Neural Network Analysis, Architectures and Applications. 
A. Browne (Ed.). Institute of Physics Press, Bristol, UK.
ISBN 0-7503-0499-5

CONTENTS:

Volume 1:
Part 1: Representation

Challenges for Neural Computing. 
Antony Browne

Representing Structure and Structured Representations in 
Connectionist Networks.
Lars Niklasson and Mikael Boden.

Chaos, Dynamics and Computational Power in Biologically Plausible 
Neural Networks. Robert Kentridge.
Information-Theoretic Approaches to Neural Network Learning.
Mark Plumbley.

Part 2: Cognitive Modelling

Exploring Different Approaches towards Everyday Commonsense 
Reasoning.
Ron Sun

Natural Language Processing with Subsymbolic Neural Networks.
Risto Miikkilainen.

The Relational Mind. 
Professor John Taylor.

Neuroconsciousness: A Fundamental Postulate. 
Professor Igor Aleksander.

Part 3: Adaptive Robotics

The Neural Mind and The Robot.
Professor Noel Sharkey and Jan Heemskerk.

Teaching a Robot to See How it Moves. 
Patrick van der Smagt.

Designing a Nervous System for an Adaptive Mobile Robot.
Tom Scutt and Robert Damper.


Bibliography (347 References)


VOLUME 2:

Part 1: Understanding and Simplifying Networks

Analysing the Internal Representations of Trained Neural Networks.
John Bullinaria.

Information Maximization to Simplify Internal Representation.
Ryotaro Kamimura.

Rule Extraction from Trained Artificial Neural Networks.
Robert Andrews, Alan Tickle, Mostefa Golea and Joachim Diederich.

Part 2: Novel Architectures and Algorithms

Pulse-Stream Techniques and Circuits for Implementing Neural 
Networks.
Robin Woodburn and Professor Alan Murray.

Cellular Neural Networks.
Mark Joy.

Efficient Training of Feed-Forward Neural Networks.
Martin Moller.

Exploiting Local Optima in Multiversion Neural Computing.
Professor Derek Partridge.

Part 3: Applications

Neural and Neuro-Fuzzy Control Systems.
Phil Picton.

Image Compression using Neural Networks.
Christopher Cramer and Erol Gelenbe.

Oil Spill Detection: A Case Study using Recurrent Artificial Neural 
Networks.
Tom Ziemke, Mikael Boden and Lars Niklasson. 

Bibliography (216 References)




Dr A. Browne
School of Information Systems
Nene College
Northampton NN2 7AL, UK