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Development of quadratic neural unit with applications to pattern classification

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3 Author(s)
Redlapalli, S. ; Intelligent Syst. Res. Lab., Saskatchewan Univ., Saskatoon, Sask. ; Gupta, M.M. ; Song, K.-Y.

The computational neural-network structures described in the literature are often based on the concept of linear neural units (LNUs). The biological neuron is a complex computing element, which performs more computations than just linear summation. The computational efficiency of the neural network depends on its structure and the training methods employed. Higher-order combinations of inputs and weights will yield higher neural performance. Here, a quadratic-neural unit (QNU) has been developed using a novel general matrix form of the quadratic operation. We have used the QNU for realizing different logic circuits

Published in:

Uncertainty Modeling and Analysis, 2003. ISUMA 2003. Fourth International Symposium on

Date of Conference:

24-24 Sept. 2003