Abstract
The application of ANNs has been a subject of extensive studies in the past four decades. There are several types of NNs that can be used in control systems as discussed in Chapter 2: the multi-layered feedforward, the Kohonen’s self-organizing map [1], the Hopfield network [2] and the Boltzmann machine [3], etc. These types of NNs are based on biological nervous system. The layered structure of parts of the brain, and multilayer (instead of single layer) arrangement of neurons in biological systems comprise the main idea of mimicking the biological neural system for obtaining higher capabilities in learning algorithms.
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Teshnehlab, M., Watanabe, K. (1999). Flexible Neural Networks. In: Intelligent Control Based on Flexible Neural Networks. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9187-4_3
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DOI: https://doi.org/10.1007/978-94-015-9187-4_3
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