Training of CC4 Neural Network with Spread Unary Coding

2015/09/03 by Pushpa Sree Potluri, Potluri, Pushpa Sree
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #cs.NE

paper · pdf · doi:10.48550/arxiv.1509.01126

8 pages, 5 figures

arxiv created 2015/09/03 · openalex publication_date 2015/09/03 · arxiv updated 2015/09/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper adapts the corner classification algorithm (CC4) to train the neural networks using spread unary inputs. This is an important problem as spread unary appears to be at the basis of data representation in biological learning. The modified CC4 algorithm is tested using the pattern classification experiment and the results are found to be good. Specifically, we show that the number of misclassified points is not particularly sensitive to the chosen radius of generalization.

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