Abstract Runoff is affected by natural and nonnatural factors in the process of formation, runoff series generally nonstationary time series. How to improve accuracy prediction has always been a difficult problem for hydrologists. The key solve this reduce complexity model. Based on aforementioned ideas, article uses complementary set empirical mode decomposition decompose into multiple intrins...

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of with more accuracy adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem discharge saline industrial effluents form buoyant jets into water bodies. Given potentially harmful effects from desalination plants on marine environment coastal ecosyste...

Wildfire is essential in altering land ecosystems’ structures, processes, and functions. As a critical disturbance the China–Mongolia–Russia cross-border area, it vital to understand potential drivers of wildfires predict where are more likely occur. This study assessed factors affecting wildfire using Random Forest (RF) model. No single factor played decisive role incidence wildfires. However,...

This research focuses on the application of three soft computing techniques including Minimax Probability Machine Regression (MPMR), Particle Swarm Optimization based Artificial Neural Network (ANN-PSO) and Adaptive Fuzzy Inference System (ANFIS-PSO) to study shallow foundation reliability settlement criteria. Soil is a heterogeneous medium involvement its attributes for geotechnical behaviour ...

This article uses a dynamic voltage restorer to tackle wide range of power quality issues, such as drooping and swelling, spikes, distortions, so on. The proportional controller, integrated controller (PI), adaptive neuro-fuzzy inference system (ANFIS) are proposed (DVR) controllers. control strategy's goal is employ an injection transformer mitigate for the needed keep load fixed. settings PI ...

Abstract Accurate modeling and prediction of suspended sediment load (SSL) in rivers have an important role environmental science design engineering structures are vital for watershed management. Since different parameters such as rainfall, temperature, discharge with the lag times significant effects on SSL, quantifying understanding nonlinear interactions dynamics has always been a challenge....

the sales proceeds are the most important factors for keeping alive profitable companies. so sales and budget sales are considered as important parameters influencing all other decision variables in an organization. therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. in this research a coherent so...

In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number cases is increasing day by day, and it crossed 21,53,010 August 9, this paper, a hybrid forecasting model has been proposed to determine for upcoming 10 days based earlier found in India. adaptive neuro-fuzzy inference system (ANFIS) mutation-based Bees Algorithm (mBA). meta-heuris...