International Journal of Technology

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2231-3915 (Online)
2231-3907 (Print)


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Yarn Strength Prediction using Hybrid Genetic Algorithm - Fuzzy Approach

Author(s): Subhasis Das, Anindya Ghosh

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Address: Subhasis Das, Anindya Ghosh
Government College of Engineering and Textile Technology, Berhampore, India-742 101
*Corresponding Author

Published In:   Volume - 4,      Issue - 1,     Year - 2014


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Cite this article:
Subhasis Das, Anindya Ghosh. Yarn Strength Prediction using Hybrid Genetic Algorithm - Fuzzy Approach. Int. J. Tech. 4(1): Jan.-June. 2014; Page 109-111

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Yarn Strength Prediction using Hybrid Genetic Algorithm - Fuzzy Approach

Author(s): Subhasis Das, Anindya Ghosh

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International Journal of Technology (IJT) is an international, peer-reviewed journal, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology...... Read more >>>

RNI: Not Available                     
DOI: 10.5958/2231-3915 

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International Journal of Technology (IJT) is an international, peer-reviewed journal, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. Viz. Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Telecommunication Engineering, Computer Engineering, Chemical Engineering, Biotechnology, Information Technology, Architecture Engineering etc.
IJT publishes Original research Articles, Short Communications, Review Articles in all areas of Engineering and Technology. The subject covered is Engineering Mechanics, Construction Materials, Surveying, Fluid Mechanics and Hydraulics, Modeling and Simulations, Thermodynamics, Refrigeration and Air-conditioning, Metallurgy, Electronic Communication Systems, Agricultural Machinery and Equipment, Applied Sciences, Chemical Engineering etc.    
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