COMPARATIVE ANALYSIS OF THE TWO FUZZY NEURAL SYSTEMS ANFIS AND EFuNN FOR THE CLASSIFICATION OF HANDWRITTEN DIGITS
نویسندگان
چکیده
Handwritten character recognition is an area with many applications. Over the last decade much research has gone into algorithms to develop systems, which accurately convert images of handwriting to text. At the same time, neuro-fuzzy classification models have been researched and proven to solve complex problems. In this paper, two popular models, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Evolving Fuzzy Neural Network (EFuNN) are investigated. The paper will show how these two models perform in handwritten digits classification
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