Coking energy consumption radial basis function prediction model improved by differential evolution algorithm
نویسندگان
چکیده
منابع مشابه
Numerical Solution of The First-Order Evolution Equations by Radial Basis Function
In this work, we consider the nonlinear first-order evolution equations: $u_t=f(x,t,u,u_x,u_{xx})$ for $0 to initial condition $u(x,0)=g(x)$, where $u$ is a function of $x$ and $t$ and $f$ is a known analytic function. The purpose of this paper is to introduce the method of RBF to existing method in solving nonlinear first-ord...
متن کاملImproving Accuracy of DGPS Correction Prediction in Position Domain using Radial Basis Function Neural Network Trained by PSO Algorithm
Differential Global Positioning System (DGPS) provides differential corrections for a GPS receiver in order to improve the navigation solution accuracy. DGPS position signals are accurate, but very slow updates. Improving DGPS corrections prediction accuracy has received considerable attention in past decades. In this research work, the Neural Network (NN) based on the Gaussian Radial Basis Fun...
متن کاملA Green Competitive Vehicle Routing Problem under Uncertainty Solved by an Improved Differential Evolution Algorithm
Regarding the development of distribution systems in the recent decades, fuel consumption of trucks has increased noticeably, which has a huge impact on greenhouse gas emissions. For this reason, the reduction of fuel consumption has been one of the most important research areas in the last decades. The aim of this paper is to propose a robust mathematical model for a variant of a vehicle routi...
متن کاملMemetic Elitist Pareto Differential Evolution algorithm based Radial Basis Function Networks for classification problems
This paper presents a new multi-objective evolutionary hybrid algorithm for the design of Radial Basis Function Networks (RBFNs) for classification problems. The algorithm, MEPDEN, Memetic Elitist Pareto evolutionary approach based on the Non-dominated Sorting Differential Evolution (NSDE) multiobjective evolutionary algorithm which has been adapted to design RBFNs, where the NSDE algorithm is ...
متن کاملOn the use of back propagation and radial basis function neural networks in surface roughness prediction
Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Measurement and Control
سال: 2019
ISSN: 0020-2940
DOI: 10.1177/0020294019858182