In this paper the design and implementation of an expert speech therapy system is presented. A brief presentation of involved speech therapy process is made. Also the base for designing and implementations of this system is presented too
A hybrid model for time series forecasting is proposed. It is a stacked neural network, containing one normal multilayer perceptron with bipolar sigmoid activation functions, and the other with an exponential activation function in the output layer. As shown by the case studies, the proposed stacked hybrid neural model performs well on a variety of benchmark time series. The combination of weights of the two stack components that leads to optimal performance is also studied.
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