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This paper proposes an ensemble neural network (ENN) framework for robust automatic speech recognition (ASR). The proposed ENN framework can be divided into offline and online phases. In the offline phase, the ENN framework first applies an environment clustering technique to partition the training data into several subsets, where each subset characterizes specific local information of the entire...
Generalized additive models (GAMs) can model the nonlinear relationship between a response variable and a set of explanatory variables through smooth functions. GAM is used to assess the direct, diffuse, and global solar components in the United Arab Emirates (UAE), a country which has a large potential for solar energy production. Six thermal channels of the spinning enhanced visible and infrared...
A neural network family is commonly used for improving financial forecasting accuracy. This paper proposes a feedback functional link artificial neural network (FFLANN) for the prediction of net asset value (NAV) of Indian Mutual funds which incorporates fewer computational load and fast forecasting capability. It is clear from the root mean square error (RMSE) and mean absolute percentage error (MAPE)...
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