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Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process

Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process

Goutam Kumar Bose, Pritam Pain
Copyright: © 2020 |Pages: 30
ISBN13: 9781799804147|ISBN10: 1799804143|EISBN13: 9781799804154
DOI: 10.4018/978-1-7998-0414-7.ch044
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MLA

Bose, Goutam Kumar, and Pritam Pain. "Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process." Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 784-813. https://doi.org/10.4018/978-1-7998-0414-7.ch044

APA

Bose, G. K. & Pain, P. (2020). Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process. In I. Management Association (Ed.), Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications (pp. 784-813). IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch044

Chicago

Bose, Goutam Kumar, and Pritam Pain. "Optimization Through Nature-Inspired Soft-Computing and Algorithm on ECG Process." In Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 784-813. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0414-7.ch044

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Abstract

In the present research work selection of significant machining parameters depending on nature-inspired algorithm is prepared, during machining alumina-aluminum interpenetrating phase composites through electrochemical grinding process. Here during experimentation control parameters like electrolyte concentration (C), voltage (V), depth of cut (D) and electrolyte flow rate (F) are considered. The response data are initially trained and tested applying Artificial Neural Network. The paradoxical responses like higher material removal rate (MRR), lower surface roughness (Ra), lower overcut (OC) and lower cutting force (Fc) are accomplished individually by employing Cuckoo Search Algorithm. A multi response optimization for all the response parameters is compiled primarily by using Genetic algorithm. Finally, in order to achieve a single set of parametric combination for all the outputs simultaneously fuzzy based Grey Relational Analysis technique is adopted. These nature-driven soft computing techniques corroborates well during the parametric optimization of ECG process.

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