Efficient classification by neural networks using encoded patterns - Electronics Letters
نویسندگان
چکیده
Introduction: Automatic mognition of handwritten characters and natural patterns has been one of the most difficult problems in artificial intelligence. Artificial neural networks (ANNs) constitute an important class of computational models for handling this class of problems. Many neural techniques have been proposed to solve this problem, such as those in [l 41. We propose an eficient way of preprocessing and encoding patterns to achieve better classification by the backpropagation network (BN).
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