In this paper, we proposed a novel approach to build the Artificial Neural Network (ANN). We addressed the fundamental questions, 1) what is the architecture of the ANN model? Should it really have a layered architecture? 2) What is a neuron: a processing unit or a memory cell? 3) How neurons must be interconnected and what should be the mechanism of weights assignment? 4) How to involve prior knowledge, bias, and generalization to extract the features? In this paper, we have given an abstract view of our approach for supervised learning with text data only and explain it through examples.
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[v1] 2018-11-07 07:51:16
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