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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 ...
Associative memory models with structured connectivity.
(ACTA Press, 2003)
High capacity associative memory models with dilute structured connectivity are trained using naturalistic bitmap patterns. The connectivity of the model is chosen to reflect the local spatial continuity of the data. The ...
Design and use of neural network applications in telecommunications
(CRC Press, 2000)
This chapter describes the use of neural networks in the analysis of software systems. The development of large software systems over long periods of time, and the software crisis that this has produced, provides a rich ...
Time series prediction and neural networks
(1999)
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results from dynamic systems theory are introduced, ...
Applications of neural networks to telecommunications systems
(ELITE Foundation, 1999)
This paper gives an overview of a project involving the application of neural networks to Telecommunications Systems. Five application areas are discussed, including cloned software identification and the detection of ...