Radial Basis Function and Particle Swarm Optimization to Predict Range Extender Engine Performance

Journal of Mechanical Engineering and Sciences- Malaysia

doi 10.15282/jmes.11.4.2017.9.0275

Full Text

Abstract

Available in

Date

Authors

Publisher

Universiti Malaysia Pahang Publishing

Related search

A Radial Basis Function Neural Network With Adaptive Structure via Particle Swarm Optimization

2009English

Generalization Improvement of Radial Basis Function Network Based on Multi-Objective Particle Swarm Optimization

Journal of Artificial Intelligence
Artificial IntelligenceSoftware
2010English

Radial Basis Function Neural Network With Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction

Discrete Dynamics in Nature and Society
ModelingSimulation
2014English

On Combination of SMOTE and Particle Swarm Optimization Based Radial Basis Function Classifier for Imbalanced Problems

2011English

Forecasting Foreign Exchange Rates With Adaptive Neural Networks Using Radial-Basis Functions and Particle Swarm Optimization

European Journal of Operational Research
Information SystemsSimulationManagement ScienceManagementComputer ScienceModelingOperations Research
2013English

A Tunable Radial Basis Function Model for Nonlinear System Identification Using Particle Swarm Optimisation

2009Malay

Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction

Abstract and Applied Analysis
Applied MathematicsAnalysis
2014English

Modified Multi-Objective Particle Swarm Optimization: Application to Optimization of Diesel Engine Control Parameter

SICE Journal of Control, Measurement, and System Integration
2010English

Adaptive Configuring of Radial Basis Function Network by Hybrid Particle Swarm Algorithm for QSAR Studies of Organic Compounds

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy