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Renewable energy will play a crucial role in the future society of the 21st century. In this way, solar energy, which can be converted into usable energy by solar panels, is known as the most… Expand
Multi linear regression technique was used for selecting the optimal input combinations (lag times) of hourly sea level and results indicated that triangular membership function was optimal for predictions with the ANFIS models while adaptive learning rate and Levenberg-Marquardt were most suitable for training the ANN models.Expand
The experimental results showed that an improvement in the predictive accuracy and capability of generalization can be achieved by the SVM-FA approach in comparison to the GP and ANN in 1 day ahead lake level forecast. Expand
ABSTRACT Supply chain refers to the integrated chain of organizations, loops, persons who are involving in stuff generation and costumer servicing. One of these services is the electricity which can… Expand
Engineering, Computer Science
The obtained results revealed that the performance of the applied models fluctuated throughout the test stages and between two sites, so a reliable assessment of the model should consider a complete scan of the utilized data set, which will be a good option for preventing partially valid conclusions obtained from assessing the models based on a simple data set assignment.Expand
Evaluating new different data set splitting strategies based on the adoption of ancillary external inputs for enhancing the performance of the Gene Expression Programming- based models for estimating ETo shows that it is preferable to incorporate the external target variable as input to feed the new model, rather than to incorporated the original external input variables of the model. Expand
Two data driven techniques, namely Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System, were applied for predicting daily lake levels for three prediction intervals, demonstrating superiority of the data driven models to ARMA.Expand
A modeling study was presented here using three different adaptive neuro-fuzzy approach algorithms comprising grid partitioning, subtractive clustering and fuzzy C-Means clustering for forecasting long period daily streamflow magnitudes and it was observed that the ANFIS-FCM generally gave the most accurate results among others. Expand
Abstract Soil bulk density (BD) is very important factor in land drainage and reclamation, irrigation scheduling (for estimating the soil volumetric water content), and assessing soil carbon and… Expand
An array of 4.5 Hz geophone and FBAs recorded a sequence of seismicity during a hydraulic fracture stimualtion that culminated in a couple ~M3 events. These sensors record accelerations and… Expand
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