Results 31 to 40 of about 82,724 (185)
Evaluation of Integrated Models of Wavelet-Artificial Neural Network and Wavelet-Gene Expression Programming in the Short-Term Drought Prediction [PDF]
Drought prediction plays an important role in the planning and management of natural resources, water resources and plant water requirements. Wavelet transform is one of the new and highly effective methods for analysing signals and time series.
Mahbobeh Younesi, Hamed Nozari
doaj +1 more source
This piece of study attempts to accurately anticipate the apparent viscosity of the viscoelastic surfactant (VES) based self-diverting acids as a function of VES concentration, temperature, shear rate, and pH value.
Mehdi Mahdaviara +2 more
doaj +1 more source
It is critical to use research methods to collect and regulate surface water to provide water while avoiding damage. Following accurate runoff prediction, principled planning for optimal runoff is implemented.
Potharlanka Jhansi Lakshmi +4 more
doaj +1 more source
A novel model for prediction of uniaxial compressive strength of rocks
This paper presents an empirical model for predicting the uniaxial compressive strength (UCS) of rocks using gene expression programming (GEP). A total of 44 datasets collected from the literature was used to construct the GEP model.
Xue, Xinhua
doaj +1 more source
The shear stress distribution in circular channels was modeled in this study using gene expression programming (GEP). 173 sets of reliable data were collected under four flow conditions for use in the training and testing stages.
Zohreh Sheikh Khozani +2 more
doaj +1 more source
In this study, the drying properties of onion slices were experimentally investigated under the different drying temperatures of 45, 50, 55, and 60°C for different thicknesses of 2, 3, 4, and 5mm. The drying characteristics of the onion slices were significantly influenced by drying temperature. Thin slices with higher temperature dried in the shortest
İsmail BOYAR +3 more
openaire +1 more source
A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei +2 more
doaj +1 more source
This research predicts residual solvent (α), which is a key component of the performance assessment for a sprayed/chip seal. In this study, conventional equations for α were assessed that showed prediction inefficiency (R2 value as low as 0.82) under different experimental conditions.
Afifa Tamanna +5 more
openaire +1 more source
This research intended to increase the understanding of using modern machine intelligence techniques, including multi-expression programming (MEP) and gene expression programming (GEP), for the compressive strength (CS) prediction of rice husk ash (RHA ...
Muhammad Nasir Amin +3 more
doaj +1 more source
Accurate prediction of surface subsidence becomes a significant challenge for active industrial companies in coal mining fields due to the importance of the economic impacts of longwall mining-induced subsidence.
Hadi Rasouli +2 more
doaj +1 more source

