Purpose: Effort Estimation is a process by which one can predict the development time and cost to develop software or product. Many approaches have been tried this probabilistic accurately, but no single technique has consistently successful. There many studies on effort estimation using Fuzzy Machine Learning. For reason, study aims combine Learning get better results.Methods: Various methods ...

This paper presents a comparison of different data imputation approaches used in filling missing data and proposes a combined approach to estimate accurately missing attribute values in a patient database. The present study suggests a more robust technique that is likely to supply a value closer to the one that is missing for effective classification and diagnosis. Initially data is clustered a...

The valve is a key control component in the oil and gas transportation system, which, due to environment, transmission medium, other factors, susceptible internal leakage, resulting failure. Conventional testing methods cannot judge service life of valves. Therefore, it important carry out prediction research for safety. In this work, method based on PCA-PSO-LSSVM algorithm proposed. main facto...

One of the challenging problems in the Oil & Gas industry is accurate and reliable multiphase flow rate measurement in a three-phase flow. Application of methods with minimized uncertainty is required in the industry. Previous developed correlations for two-phase flow are complex and not capable of three-phase flow. Hence phase behavior identification in different conditions to designing and mo...

Short-term wind power forecasting plays an important role in generation systems. In order to improve the accuracy of forecasting, many researchers have proposed a large number models. However, traditional models ignore data preprocessing and limitations single model, resulting low accuracy. Aiming at shortcomings existing models, combined model based on secondary decomposition technique grey wo...