Abstract
Neural Network is used in various applications like extraction of information, generation of language, text classification, recognition of speech and characters and many more. But there are certain limitations also such as time consumed, large structure, unexplained functions, and number of epochs. The number of epochs and time can be reduced by using neural network with wavelet transform. By implementing these two techniques together, the number of epoch can be minimized to a greater extend and with which less time is consumed. In this paper, such applications are discussed in which ANN-WT (Artificial Neural Network- Wavelet Transform) was implemented and showed better results.
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