Abstract
As mentioned in Chapter 1, neural networks can be classified as feedforward networks and recurrent networks. In feedforward networks, the processing elements are connected in such a way that all signals flow in one direction from input units to output units. In recurrent networks there are both feedforward and feedback connections along which signals can propagate in opposite directions.
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© 1995 Springer-Verlag London Limited
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Pham, D.T., Liu, X. (1995). Dynamic System Identification Using Recurrent Neural Networks. In: Neural Networks for Identification, Prediction and Control. Springer, London. https://doi.org/10.1007/978-1-4471-3244-8_3
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DOI: https://doi.org/10.1007/978-1-4471-3244-8_3
Publisher Name: Springer, London
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