A Brief History and Foundation of AI: Popular Machine Learning Techniques and Their Basics

Artificial Intelligence (AI) garners many front-page headlines every day as the technology enables machines to learn from experience and perform human-like tasks. Though the term “AI” was coined in the 1950s, the field is still evolving due to the invention of new high-speed computing devices. Therefore, many variations of AI techniques have been reported and applied in anomaly detection, pattern recognition, natural language processing, feature extraction, regression, data augmentation, and many other fields of study. This chapter presents a brief history of AI, along with its foundation and basic components. Then, it discusses the basics of the popular machine learning techniques (a subset of AI), including the artificial neural networks, support vector machines, extreme learning machines, fuzzy logic models, genetic programming, and deep learning techniques. Besides, this chapter also briefly sheds light on hybrid, ensemble, and other AI techniques. It is expected that the presented discussions of this chapter help the readers to understand the foundation of the popular machine learning techniques and select appropriate strategies to deal with their problems. Furthermore, many of the discussed AI techniques are employed in solving power system fault diagnosis in the subsequent chapters of this book.

– The paper discusses the history and foundation of artificial intelligence (AI).
– It presents various machine learning techniques, including neural networks and genetic programming.

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10.1016/b978-0-323-88429-7.00007-2

A brief history of AI, along with its foundation and basic components is presented in this paper , where many variations of AI techniques have been reported and applied in anomaly detection, pattern recognition, natural language processing, feature extraction, regression, data augmentation, and many other fields of study.

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– Provides a brief history and foundation of AI
– Discusses popular machine learning techniques and their basics

– Brief history and foundation of AI
– Basics of popular machine learning techniques

The paper discusses various AI techniques including artificial neural networks, support vector machines, extreme learning machines, fuzzy logic models, genetic programming, and deep learning techniques.

– Artificial neural networks
– Support vector machines

– Understanding foundation of popular machine learning techniques
– Selecting appropriate strategies for problem-solving

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.

– AI techniques are evolving due to new high-speed computing devices.
– The paper discusses various AI techniques, including machine learning and deep learning.