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Titlebook: MATLAB Machine Learning Recipes; A Problem-Solution A Michael Paluszek,Stephanie Thomas Book 2024Latest edition Michael Paluszek and Stepha

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發(fā)表于 2025-3-21 16:27:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱MATLAB Machine Learning Recipes
副標題A Problem-Solution A
編輯Michael Paluszek,Stephanie Thomas
視頻videohttp://file.papertrans.cn/621/620052/620052.mp4
概述Shows how to integrate machine learning with control systems.Comes with complete working MATLAB source code.Examples cover diverse topics such as pattern recognition, autonomous driving, and expert sy
圖書封面Titlebook: MATLAB Machine Learning Recipes; A Problem-Solution A Michael Paluszek,Stephanie Thomas Book 2024Latest edition Michael Paluszek and Stepha
描述Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution..This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more..What You Will Learn.Write code for machine learning, adaptive control, and estimation using MATLAB.Use
出版日期Book 2024Latest edition
關鍵詞matlab; machine learning; ML; programming; code; numerical; algorithms; AI; artificial intelligence; kalman f
版次3
doihttps://doi.org/10.1007/978-1-4842-9846-6
isbn_softcover978-1-4842-9845-9
isbn_ebook978-1-4842-9846-6
copyrightMichael Paluszek and Stephanie Thomas 2024
The information of publication is updating

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978-1-4842-9845-9Michael Paluszek and Stephanie Thomas 2024
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Kalman Filters,stem. A model can be a predefined structure or can be determined solely through data. In the case of Kalman Filtering, we create a model and use the model as a framework for learning about the state of the system.
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Case-Based Expert Systems,re are two broad classes of expert systems, rule-based and case-based. Rule-based systems have a set of rules that are applied to come to a decision; they are just a more organized way of writing decision statements in computer code.
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Adaptive Control,Control systems need to react to the environment in a predictable and repeatable fashion. Control systems take measurements and use them to control the process. For example, a ship measures its heading and changes its rudder angle to attain a desired heading.
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