Accurate and efficient road adhesion coefficient estimation is the premise for proper functioning of vehicle active safety control system. With increased application distributed drive vehicles on-board sensors, a multi-module self-organizing feedforward neural network (LM-MMSOFNN) based on improved Levenberg-Marquardt (LM) learning algorithm proposed online estimation. In this method, dynamics ...

A computer program, capable of carrying out the mathematical modelling and optimization multi effect evaporation (MEE) systems is developed in scope this study. C# programming language used development program. Particle Swarm Optimization (PSO) based algorithm hybridized with a Levenberg-Marquardt (LM) algorithm. program interface .NET platform for user to give inputs such as feed product strea...

Abstract The use of three artificial neural network (ANN)-based models for the prediction unconfined compressive strength (UCS) granite using non-destructive test indicators, namely pulse velocity, Schmidt hammer rebound number, and effective porosity, has been investigated in this study. For purpose, a sum 274 datasets was compiled used to train validate ANN including constructed Levenberg–Mar...

The mono-exponential decay has been used to describe various physical phenomena such as cavity ring-down signal, fluorescence decay, etc. In this paper, a neural network method of extreme learning machine (ELM) is adopted efficiently extract time. theoretical extraction precision, accuracy, and computation cost are all preliminarily analyzed quantitatively compared with the traditional Levenber...

Abstract This paper presents a parallel approach to the Levenberg-Marquardt algorithm (LM). The use of train neural networks is associated with significant computational complexity, and thus computation time. As result, when network has big number weights, becomes practically ineffective. article new computations in learning algorithm. proposed solution based on vector instructions effectively ...

Nature-inspired metaheuristics found various applications in different fields of science, including the problem of artificial neural networks (ANN) training. However, very versatile opinions regarding the performance of metaheuristics applied to ANN training may be found in the literature. Both nature-inspired metaheuristics and ANNs are widely applied to various geophysical and environmental p...

A well-designed carrier tracking loop in a receiver of the Global Navigation Satellite System (GNSS) is premise accurate positioning and navigation an aircraft-based surveying mapping system. To deal with problems Doppler estimation high-dynamic maneuvers, interest on maximum-likelihood (MLE) increasing among academic community. Levenberg-Marquardt (LM) method usually regarded as effective prom...

Viscosity is a crucial thermophysical feature of substance that must be accurately determined before designing system with nanofluid as the working fluid. In this study, modern technique committee machine intelligent (CMIS) used for establishing predictive model relative viscosity water-based nanofluids. The was developed by considering 1440 experimental data points different types nanofluids c...

This paper introduces a new Runge–Kutta (RK) integration-based adaptive controller by considering control law as an ODE for nonlinear MIMO systems. It is aimed to derive novel regarding the with limited information about structure. Adaptive parameters are adjusted via RK predictive system model where Levenberg–Marquardt (LM) technique deployed. The adjustment mechanism enables utilize both in a...

Google Earth Engine (GEE) has been widely used to process geospatial data in recent years. Although the current GEE platform includes functions for fitting linear regression models, it does not have function fit nonlinear limiting platform’s capacity and application. To circumvent this limitation, work proposes a general adaptation of Levenberg–Marquardt (LM) method models parallel processing f...