In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

The design of integrated intelligent computing solver with Morlet wavelet neural networks
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …

This study presents a deterministic constrained optimisation algorithm developed for using
in a pressurized irrigation network. In irrigation networks—or water networks supplied by a …

Accurate model plays an important role in designing, assessing, and controlling photovoltaic
(PV) systems. In this work, the least-squares support vector machine (LSSVM) is adopted to …

Based on the land use data in 1986, 1996, 2000, 2004, 2009, 2015 and 2020 in the
Pingshuo opencast coal mine area, the land use information entropy and dynamic degree …

Attaining sustainable agriculture requires water consumption management. A water
allocation optimization model was developed for the Moghan irrigation network (northwest of …

A new stochastic approach is presented to understand general spectral type problems for
(not necessarily linear) functions between topological spaces. In order to show its potential …

This paper generalizes the discrete Fourier transform matrix to an energy-preserved
transform matrix as well as introduces the idea of the generalized mean frequency and the …

One challenging problem in numerical linear algebra is computing eigenvalues from the
interior of the spectrum of large matrices. The harmonic Arnoldi method is one of the …

This study presents a deterministic constrained optimisation algorithm developed for using
in a pressurized irrigation network. In irrigation networks—or water networks supplied by a …