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Автор: Kelvin K. L. Wong
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 433
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB
Highly comprehensive, detailed, and up-to-date overview of Artificial Intelligence and cybernetics, with practical examples and supplementary learning resources. Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of Machine Learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of Machine Learning from a cybernetics perspective. Artificial Intelligence (AI) is a field of engineering cybernetics that focuses on the development of intelligent machines that can simulate human-like behaviors such as learning, problem-solving, reasoning, and decision-making. AI technology involves the use of algorithms and computational models to analyze vast amounts of data, recognize patterns and make predictions, and interact with humans through Natural Language Processing (NLP) and other forms of communication.