book chapter · Cambridge University Press eBooks · 2023
Optimization: Soft Computing
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Abstract
Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.
Cite this paper
Schoen, M. P. (2023). Optimization: Soft Computing. Cambridge University Press eBooks, 142–176. https://doi.org/10.1017/9781009004992.006
Schoen, Marco P. “Optimization: Soft Computing.” Cambridge University Press eBooks, 2023, pp. 142–76, https://doi.org/10.1017/9781009004992.006.
Schoen, Marco P. 2023. “Optimization: Soft Computing.” Cambridge University Press eBooks: 142–76. https://doi.org/10.1017/9781009004992.006.
Schoen, M.P. (2023) ‘Optimization: Soft Computing’, Cambridge University Press eBooks, pp. 142–176. Available at: https://doi.org/10.1017/9781009004992.006.
@incollection{schoen2023optimization,
title = {{Optimization: Soft Computing}},
author = {Schoen, Marco P.},
booktitle = {Cambridge University Press eBooks},
pages = {142--176},
year = {2023},
doi = {10.1017/9781009004992.006}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.