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Now showing items 121-130 of 185
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 ...
Optimising a hierarchical neural clusterer applied to large gene sequence data sets
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
Evolutionary Algorithms have been used to optimise the performance of neural network models before. This paper uses a hybrid approach by permanently attaching a Genetic Algorithm (GA) to a hierarchical clusterer to investigate ...
Self-Organising Map Representations Of Greyscale Images Reflect Human Similarity Judgements
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
In this study we assessed a Kohonen network's ability to represent visual similarity between grayscale pictures and whether these representations were associated with human ratings af perceived similarity. We trained a ...
Optimising a Neural Tree Using Subtree Retraining
(2004)
Subtree retraining applied to a Stochastic Competitive Evolutionary Neural Tree model (SCENT) is introduced. This subtree retraining process is designed to improve the performance of the original model which provides a ...