Design of Optimal MLPNN and RBFNN for Handwritten Digit Recognition Application

Research areas:

• Volume 4,Issue 2, Sept. 2015

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.

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