Description
| Product ID: | 9781264675913 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning |
| Authors: | Author: Lefteri Tsoukalas |
| Page Count: | 176 |
| Subjects: | Databases, Databases, Machine learning, Neural networks and fuzzy systems, Machine learning, Neural networks & fuzzy systems |
| Description: | Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization. Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Fuzzy logic principles, practices, and real-world applications This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.
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| Imprint Name: | McGraw-Hill Education |
| Publisher Name: | McGraw-Hill Education |
| Country of Publication: | GB |
| Publishing Date: | 2023-11-22 |
