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- Author: Bahrudin Hrnjica
- Publisher: Medical Information Science Reference
- ISBN-10: 152256005X
- ISBN-13: 9781522560050
- Format: 17.8 x 25.4 x 1.9 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
EXTRA 10 % discount with code: EXTRA
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- Author: Bahrudin Hrnjica
- Publisher: Medical Information Science Reference
- ISBN-10: 152256005X
- ISBN-13: 9781522560050
- Format: 17.8 x 25.4 x 1.9 cm, kieti viršeliai
- Language: English English
Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
Reviews