工业应用的人工智能解决方案

English | 2025 | ISBN: 9781032548012 | 402 pages | True PDF EPUB | 47.18 MB

Artificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate industrial challenges and to stimulate innovation. This book explores the fundamental principles of artificial intelligence (AI) and its practical use in industrial environments. This book improves understanding of core concepts, the present state of the art and real-time implementation of AI in many industrial applications.

This book describes the detailed implementation of AI in the industrial sector as well as related case studies for in-depth understanding. Basic concepts, related work reviews, illustrations, empirical results, and tables are integrated within each chapter to give the readers the opportunity to gain maximum knowledge and to easily understand the methodology and results presented.

This book introduces a variety of smart algorithms to help in filtering important information and to solve problems in the application domains. Application of machine learning and deep learning in the industry demonstrates the capabilities by which it may be used to solve practical problems in the 'Fourth Industrial Revolution', and it equips readers with the necessary knowledge and tools to design solutions by themselves with the help of theory and practical examples dealt with. The fourth industrial revolution and its consequences on society and organizations are discussed in this book.

Features

Detailed understanding of the industrial application of AI. Discussion of core concepts of different machine learning and deep learning techniques such as artificial neural networks, support vector machines, K –nearest neighbour, decision tree, logistic regression, and many more. Detailed study on various industrial applications of machine learning and deep learning in healthcare, education, entertainment, share market, manufacturing, and many more. Case studies on industrial application of AI Summataion of the fourth industrial revolution and its consquences on society and organizations.

This book is primarily written for graduate students, engineers, and academic researchers, industrial practitioners, and anyone who wants to optimize production processes, explore AI technology, or stay ahead in the industrial field. It covers the complexities of AI in industrial contexts from core basic understanding to complex implementation.

关于工业应用的人工智能解决方案旨在探讨人工智能（AI）技术在解决复杂工业问题方面的使用，并为读者提供对这些技术如何被应用于解决复杂工业挑战的全面理解，同时激发创新。本书探讨了人工智能的基本原理及其在工业环境中的实际应用。本书提高了读者对核心概念、当前状态和实时实施的人工智能在许多工业应用中理解。 本书详细描述了AI在工业领域的具体实施以及相关案例研究以加深理解。每章都包含了基本概念的相关工作回顾、插图、实证结果和表格，让读者有机会获取最大知识，并轻松理解所呈现的方法和结果。 本书介绍了各种智能算法来帮助过滤重要信息并解决应用领域中的问题。机器学习和深度学习在工业中的应用展示了其可用于解决“第四次工业革命”中实际问题的能力，并使读者能够利用理论和实际示例自行设计解决方案。该书还讨论了第四次工业革命及其对社会和组织的影响。 特点 详细理解AI在工业中的应用。 讨论不同机器学习和深度学习技术的核心概念，如人工神经网络、支持向量机、K最近邻、决策树、逻辑回归等。 深入研究各种工业领域（医疗保健、教育、娱乐、金融市场、制造业等）中机器学习和深度学习的实际应用情况。 有关AI在工业中的应用案例研究 第四次工业革命及其对社会和组织的影响的总结。 本书主要面向研究生、工程师、学术研究人员、工业从业者以及希望通过优化生产流程、探索人工智能技术或保持工业领域的领先地位而寻找知识和工具的人。它涵盖了工业背景下从基本理解到复杂实施的人工智能复杂性。

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