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This paper presents an optimizing methodology for implementing a multi-layer perceptron (MLP) neural network in a Field Programmable Gate Array (FPGA) device. In order to obtain an efficient implementation, a compromise of time and area is needed. Starting from simulation in the learning phase with fixed point operators, we have developed a methodology which allows the automatic generation of a VHDL...
We propose an efficient and effective nonlinear feature domain noise suppression algorithm, motivated by the minimum mean square error (MMSE) optimization criterion. Multi layer perceptron (MLP) neural network in the log spectral domain minimizes the difference between noisy and clean speech. By using this method as a pre-processing stage of a speech recognition system, the recognition rate in noisy...
A Computational Intelligence approach to estimate missing data makes use of Autoassociative Neural Networks (ANN) and a stochastic optimization technique. The ANN captures interrelationships within data and the optimization technique estimates probable values that are used as inputs to the ANN. The optimum estimate is one that has a minimum influence on the output of the ANN. A method to determine...
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