Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning
暫譯: 模糊邏輯:在人工智慧、大數據與機器學習中的應用

Tsoukalas, Lefteri

商品描述

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.

  • Serves as a classroom guide and as an on-the-job resource
  • Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students
  • Written by an expert in the field and experienced author

商品描述(中文翻譯)

**模糊邏輯的原則、實踐與實際應用**

這本實用指南提供了模糊邏輯的清晰解釋,並附有實際應用和真實案例。由一位獲獎工程師撰寫的《模糊邏輯:在人工智慧、大數據和機器學習中的應用》,旨在提升學生和專業人士的能力與動機。

在書中,您將發現如何在普遍數位化和大數據的背景下應用模糊邏輯,這些新興技術需要與以往在工程、科學、經濟學和社會科學中使用的機器人關係截然不同的互動。涵蓋的應用包括具有需求響應的智能能源系統、智慧家庭、交通電氣化、供應鏈效率、智慧城市、電子商務、教育、醫療保健和去碳化。

- 作為課堂指南和工作中的資源
- 附加資源包括樣本課程大綱、帶答案的測試集以及供學生自學的額外資源
- 由該領域的專家和經驗豐富的作者撰寫