Piecewise quadratic neural network for pattern classification (Proceedings Only)

Sanjay S. Natarajan; David P. Casasent

doi:10.1117/12.135115

1 March 1992 Piecewise quadratic neural network for pattern classification (Proceedings Only)

Sanjay S. Natarajan, David P. Casasent

Proceedings Volume 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods; (1992) https://doi.org/10.1117/12.135115
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

A neural network pattern classifier is presented. Its decision boundaries are formed from segments of conic sections which allows it to achieve improved performance over piecewise linear neural network classifiers, such as our earlier adaptive clustering neural network (ACNN). We discuss an optical realization that uses complex-valued weights, optical intensity detectors, and an additional input neuron to achieve piecewise conic decision surfaces (rather than the piecewise linear surfaces that the ACNN produces).

Citation Download Citation

Sanjay S. Natarajan and David P. Casasent "Piecewise quadratic neural network for pattern classification (Proceedings Only)", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135115

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