Neural networks are an increasingly important technology in real-world industrial applications, especially in control and systems engineering. This book provides a comprehensive overview of how neural networks are used in these contexts, targeting readers with a background in control or systems who want to understand neural network technology in practical settings.
The book covers a variety of network types, including Kohonen networks, n-tuple networks, radial basis function networks, and the more common multilayer perceptron back-propagation networks. It starts with the fundamental principles and key design aspects, then delves into detailed application studies that showcase advanced uses of neural networks in control and systems applications.
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