Skeletonization: a technique for trimming the fat from a network via relevance assessment
Advances in neural information processing systems 1
The cascade-correlation learning architecture
Advances in neural information processing systems 2
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
On Simultaneous Weight and Architecture Learning
IWANN '97 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Biological and Artificial Computation: From Neuroscience to Technology
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In this letter we investigate a neural network simplification schedule that takes place at the same time as regular weight adjustment and with variable pruning strength. The underlying connection model incorporates an explicit trainable factor modulating the classical synaptic weight. Learning in this context results in a reduced size structure with enhanced generalization ability. The effectiveness of the method is empirically explored in an artificial application and a classical real-world benchmark problem.