Multivariable regression and artificial neural network procedures were used to modeling of the input power and gas holdup of flotation. The stepwise nonlinear equations have shown greater accuracy than linear ones where they can predict input power, and gas holdup with the correlation coefficients of 0.79 thereby 0.51 in the linear, and R2=0.88 versus 0.52 in the non linear, respectively. ...

Alternative fuels are intensively investigated for the replacement of the diesel fuel. Today the diesel power generators are mostly used in the various industrial companies in Iran. Therefore, it is necessary to estimate the level of performance of the diesel power generators fueled with biofuels. For the first time, in this study, the prediction of the performance of a diesel power generator m...

based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. however, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. to resolve this problem, hybridization of the fuel cell and energy storage device...

This paper employs Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict water level that leads to flood in coastal areas. ANFIS combines the verbal power of fuzzy logic and numerical power of neural network for its action. Meteorological and astronomical data of Santa Monica, a coastal area in California, U. S. A., were obtained. A portion of the data was used to train the ANFIS network, wh...

This report describes investigations performed for the prediction of the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction is derived from a statistical evaluation of available wind speed data records at this location and at nearby locations similarly situated within the Mojave Desert. In addition to a model for power predictio...

This report describes investigations performed for the prediction of the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction is derived from a statistical evaluation of available wind speed data records at this location and at nearby locations similarly situated within the Mojave Desert. In addition to a model for power predictio...