Digit and Command Interpretation for Electronic Book Using Neural Network and Genetic Algorithm
Hak‐Keung Lam, Frank H. F. Leung · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2004
This paper presents the interpretation of digits and commands using a modified neural network and the genetic algorithm. The modified neural network exhibits a node-to-node relationship which enhances its learning and generalization abilities. A digit-and-command interpreter constructed by the modified neural networks is proposed to recognize handwritten digits and commands. A genetic algorithm is employed to train the parameters of the modified neural networks of the digit-and-command interpreter. The proposed digit-and-command interpreter is successfully realized in an electronic book. Simulation and experimental results will be presented to show the applicability and merits of the proposed approach.