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Applications of Generalized Neuron Models

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Soft Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 103))

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In the earlier chapter, the development details of GN models have been studied. GN models have also been tested on benchmark problems. It is found that the GN models are much better than multilayered ANN in all the benchmark problems, which encouraged to use for different problems like modeling and simulation of electrical machines, short term electrical load forecasting and various control applications.

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© 2008 Springer-Verlag Berlin Heidelberg

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(2008). Applications of Generalized Neuron Models. In: Soft Computing. Studies in Computational Intelligence, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77481-5_6

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  • DOI: https://doi.org/10.1007/978-3-540-77481-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77480-8

  • Online ISBN: 978-3-540-77481-5

  • eBook Packages: EngineeringEngineering (R0)

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