Convolution of Gaussian manifolds in a differentially FED artificial neural network

Authors:
R. Manjunath;K. S. Gurumurthy
Affiliations:
Bangalore University, Dept of EC & CSE, UVCE, Bangalore, India;Bangalore University, Dept of EC & CSE, UVCE, Bangalore, India
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

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Abstract

The problem of function approximation to map a set of data with another is challenging When they are non linearly related. A variety of solutions based on Neural Networks are found in the literature. In this paper, a new class of Artificial neural networks with differential feedback are introduced. The different orders of differentials form a manifold of hyperplanes [2]. The spectral properties of these hyperplanes are explored.