Design of Optimal MLPNN and RBFNN for Handwritten Digit Recognition Application

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Year:
2015
Type of Publication:
Article
Keywords:
Ambiguous Digits, Handwritten Digit Recognition, Optimal Neural Network NN, Multilayer Perceptron Neural Network MLPNN, Radial Basis Function Neural Network RBFNN
Authors:
Seema B. Kawale; Mrs. Naveeta Kant
Journal:
IJAIM
Volume:
4
Number:
2
Pages:
41-44
Month:
September
Abstract:
Handwritten digit recognition is used in many fields for user identification purpose. The circuit should be designed in such a way that it should give accurate results. This paper describes the implementation of optimal MLPNN and optimal RBFNN for handwritten digit recognition application. Theory of neural networks and design parameters of these two types neural networks is also presented in this paper.
Full text: IJAIM_468_Final.pdf

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