Abstract
One approach for modeling of 1-D IIR digital filter based on two layer recurrent neural network is proposed. The Lagrange multipliers method has been applied to the training process of the neural network. The set of time domain data is generated and used as a target function in the training procedure. To demonstrate the effectiveness of the proposed neural network model some simulations have been done using input harmonic signals with different frequencies. The analysis of the behaviour of neural network model and target filter frequency responses shows good approximation results.
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S.A., S. (2010). One Dimensional IIR Digital Filter Modeling Based on Recurrent Neural Network. In: Iskander, M., Kapila, V., Karim, M. (eds) Technological Developments in Education and Automation. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3656-8_52
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DOI: https://doi.org/10.1007/978-90-481-3656-8_52
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