A Comparative Analysis on ID3 and Backpropagation Algorithms

C.R. kavitha

Abstract


This article briefly explain a comparative study on ID3 classification and Backpropagation algorithm. Both are belong to learning paradigms, but ID3 gives the overview of learning through symbolic Artificial Intelligence algorithms, that is learning system based on the inductive paradigms, whereas Backpropagation describe learning through Neural Network algorithms. But both are belongs to Supervised Learning concept. Symbolist (Artificial Intelligence) and connectionist (Neural Network) approaches are learned from example; only differ in knowledge-base representation and in inductive mechanism. To explore these differences here we compare and identify the aspects of each system that may account for these performance differences.


Keywords: ID3, Backpropagation, Neural Network, Artificial Intelligence, Inductive


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DOI: https://doi.org/10.26483/ijarcs.v6i5.2487

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