Soft Computing and Its Engineering Applications : Second International Conference, IcSoftComp 2020, Changa, Anand, India, December 11-12, 2020, Proceedings. [elektronicky zdroj]

Autor: Patel, Kanubhai K.

Externí odkaz: Kolekce e-knih KNAV (Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.)

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Analysis of COVID-19 Datasets Using Statistical Modelling and Machine Learning Techniques to Predict the Disease

Autor: Nramban Kannan, Senthil Kumar, Kolla, Bhanu Prakash, Sengan, Sudhakar, Muthusamy, Rajendiran, Manikandan, Raja, Patel, Kanubhai K., Dadheech, Pankaj

Publikováno v: SN Computer Science; January 2024, Vol. 5 Issue: 1

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Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor

Autor: Haus, Benedikt, Mercorelli, Paolo, Yap, Jin Siang, Schäfer, Lennart

Publikováno v: Haus, B, Mercorelli, P, Yap, J S & Schäfer, L 2022, Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor . in K K Patel, G Doctor, A Patel & P Lingras (eds), Soft Computing and its Engineering Applications : Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers . Communications in Computer and Information Science, vol. 1572 CCIS, Springer Nature Switzerland AG, Cham, pp. 41-50, 3rd International Conference on Soft Computing and its Engineering Applications-icSoftComp 2021, Anand, India, 10.12.21 . https://doi.org/10.1007/978-3-031-05767-0_4

This contribution deals with the identification of roughness as a function of gloss in manufacturing using Particle Swarm Optimization (PSO) methods. The proposed PSO method uses a Least Squares Method as a cost function to be optimized. The identifi

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https://www.mendeley.com/catalogue/43901d95-2f2d-3bd1-a0f1-8e1d540724ff/