An efficient Neuro-Fuzzy Approach for classification of Iris Dataset-Reference-Cited by-同舟云学术

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An efficient Neuro-Fuzzy Approach for classification of Iris Dataset

Published:2014-02 Issue: Volume: Page:
ISSN:
Container-title:2014 International Conference on Reliability Optimization and Information Technology (ICROIT)
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Author:

Arya Vaishali,Rathy R.K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6784149/6798279/06798304.pdf?arnumber=6798304

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iris Flower Classification by using Random Forest in AWS;2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS);2022-05-25

2. Classification of Flower Species based on Flower Texture to Improve Accuracy of Classifier using Linear Regression and Comparing with SVM algorithm.;Journal of Pharmaceutical Negative Results;2022-01-01

3. Recursive fuzzy instrumental variable based evolving neuro-fuzzy identification for non-stationary dynamic system in a noisy environment;Fuzzy Sets and Systems;2018-05

4. Evolving Neuro–Fuzzy network modeling approach based on recursive fuzzy instrumental variable;Journal of Intelligent & Fuzzy Systems;2017-05-23

5. Adaptive Neuro-Fuzzy Black-Box Modeling Based on Instrumental Variable Evolving Algorithm;Journal of Control, Automation and Electrical Systems;2016-11-09

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