Convergent design of piecewise linear neural networks
Neurocomputing
CNN based Hole filler template design using numerical integration techniques
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Integrated circuit implementation of multi-dimensional piecewise-linear functions
Digital Signal Processing
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This paper introduces a novel neural architecture which is capable of similar performance to any of the "classic" neural paradigms while having a very simple and efficient mixed-signal implementation which makes it a valuable candidate for intelligent signal processing in portable multimedia applications. The architecture and its realization circuit are described and the functional capabilities of the novel neural architecture called a simplicial neural cell are demonstrated for both regression and classification problems including nonlinear image filtering.