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High Capacity Associative Memories and Small World Networks
(Institute of Electrical and Electronics Engineers (IEEE), 2004-07)
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast biological neural systems have predominantly local, non-symmetric connectivity. Here we investigate ...
Formal Systems, Not Methods
(2004)
In this paper we will present an approach for teaching formalisms to Computer Science undergraduate students that has been developed over the past 23 years at the University of Hertfordshire (formerly Hatfield Polytechnic). ...
Segmenting hand written text using supervised classification techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
High Performance Associative Memories and Structured Weight Dilution
(Springer Nature, 2004)
The consequences of two techniques for symmetrically diluting the weights of the standard Hopfield architecture associative memory model, trained using a non-Hebbian learning rule, are examined. This paper reports experimental ...
An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
Rainfall prediction is a challenging task especially in a modern world facing the major environmental problem of global warming. The proposed method uses an Adaptive Radial Basis Function neural network mode with a specially ...