April 2012
Predicting shelf life of dairy product by using artificial neural networks (ANN) and statistical computerized methods
Artificial neural networks (ANN) have been developed as generalizations of mathematical models of biological nervous systems. Generalized regression (GR) and multiple linear regression (MLR) models for shelf life prediction of dairy product were developed. Results of both the models were evaluated with three types of prediction performance measures viz., mean square error, root mean square error and...
April 2012
High performance efficiency of distributed optical fiber Raman amplifiers for different pumping configurations in different fiber cable schemes
Fiber Raman amplifiers (FRAs) are attractive for ultra wide dense wavelength division multiplexing (UW-DWDM) transmission systems due to their advantages of broad amplification bandwidth and flexible central wavelength. With recent developments of optical pump sources with high power near 1.4 μm wavelength and highly nonlinear fiber having a peak effective Raman gain coefficient, more than ten times that...
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