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- Author: Earl Cox
- Publisher: Morgan Kaufmann Publishers
- ISBN-10: 0121942759
- ISBN-13: 9780121942755
- Format: 19 x 23.5 x 3 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (e-book) (used book) | bookbook.eu
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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.
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- Author: Earl Cox
- Publisher: Morgan Kaufmann Publishers
- ISBN-10: 0121942759
- ISBN-13: 9780121942755
- Format: 19 x 23.5 x 3 cm, minkšti viršeliai
- Language: English English
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.
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