Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Journal of Computational and Applied Mathematics

• Publication date

  2010-03-01

• Fields of study

  Mathematics, Business, Engineering, Computer Science

• Identifiers
  DOI 10.1016/j.cam.2009.10.030
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wv-SVM

  2010cited by this paper
• The hybrid forecasting model based on chaotic mapping, genetic algorithm and support vector machine

  2010cited by this paper
• Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO

  2010cited by this paper
• Regression application based on fuzzy nu-support vector machine in symmetric triangular fuzzy space

  2010cited by this paper
• A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization

  2010cited by this paper
• The Fuzzy Wavelet Classifier Machine with Penalizing Hybrid Noises from Complex Diagnosis System

  2009cited by this paper
• The forecasting model based on wavelet nu-support vector machine

  2009cited by this paper
• Identifying winners of competitive events: A SVM-based classification model for horserace prediction

  2009cited by this paper
• An approach to evaluate the impact of interaction between demand forecasting method and stock control policy on the inventory system performances

  2009cited by this paper
• Using support vector machines to learn the efficient set in multiple objective discrete optimization

  2009cited by this paper
• The Fuzzy Wavelet Classifier Machine with Penalizing Hybrid Noises from Complex Diagnosis System: The Fuzzy Wavelet Classifier Machine with Penalizing Hybrid Noises from Complex Diagnosis System

  2009cited by this paper
• A hybrid wavelet analysis and support vector machines in forecasting development of manufacturing

  2008cited by this paper
• Analyzing and forecasting tourism demand with ARAR algorithm

  2008cited by this paper
• Application of machine learning techniques for supply chain demand forecasting

  2008cited by this paper
• A sequential equality constrained quadratic programming algorithm for inequality constrained optimization

  2008cited by this paper
• A novel LS-SVMs hyper-parameter selection based on particle swarm optimization

  2008cited by this paper
• The Research and Application of LS_SVM Based on Particle Swarm Optimization

  2007cited by this paper
• Comprehensible credit scoring models using rule extraction from support vector machines

  2007cited by this paper
• Intrusion Detection Model Based On Particle Swarm Optimization and Support Vector Machine

  2007cited by this paper
• An application of vector GARCH model in semiconductor demand planning

  2007cited by this paper
• A new smoothing technique for mathematical programs with equilibrium constraints

  2007cited by this paper
• Integration of Artificial Neural Networks and Genetic Algorithm to Predict Electrical Energy consumption

  2006cited by this paper
• Subsurface characterization with support vector machines

  2006cited by this paper
• Use of artificial neural networks for transport energy demand modeling

  2006cited by this paper
• Application of SVM and ANN for image retrieval

  2006cited by this paper
• State space investigation of the bullwhip problem with ARMA(1,1) demand processes

  2006cited by this paper
• Wavelet Analysis and Application

  2003cited by this paper
• Particle swarm optimization

  2002cited by this paper
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Moderating the outputs of support vector machine classifiers

  1999cited by this paper
• The connection between regularization operators and support vector kernels

  1998cited by this paper
• The Nature of Statistical Learning

  1995cited by this paper
• Wavelet networks

  1992cited by this paper
• Neural network adaptive wavelets for signal representation and classification

  1992cited by this paper
• The wavelet transform, time-frequency localization and signal analysis

  1990cited by this paper
• Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations

  1909cited by this paper

• Critical Drivers of AI Integration in Industrial Processes for Enhancing Smart Sustainable Manufacturing: Decision-Making Framework

  2025cites this paper
• Meta-Learning Enhanced Trade Forecasting: A Neural Framework Leveraging Efficient Multicommodity STL Decomposition

  2024cites this paper
• Automobile-Demand Forecasting Based on Trend Extrapolation and Causality Analysis

  2024cites this paper
• Comparative Analysis of Demand Forecasting Methods to Optimize Supply Chain Efficiency in PharmaHealth Group

  2024cites this paper
• Support vector machines for predicting the level of integration in agri-food chains

  2023cites this paper
• A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

  2022cites this paper
• Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data

  2022cites this paper
• Prediction of heterogeneous Fenton process in treatment of melanoidin-containing wastewater using data-based models.

  2022cites this paper
• Machine Learning for industrial applications: A comprehensive literature review

  2021cites this paper
• Application of nature inspired algorithms for multi-objective inventory control scenarios

  2021cites this paper
• An Application of Predictive Analytics in Manufacturing Sector for Price Prediction and Demand Prediction

  2020cites this paper
• Identification and Characterization of Challenges in the Future of Manufacturing for the Application of Machine Learning

  2020cites this paper
• Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

  2020cites this paper
• Forecasting models in the manufacturing processes and operations management: Systematic literature review

  2020cites this paper
• MODELING OF FLOW NUMBER OF ASPHALT MIXTURES USING A MULTI–KERNEL BASED SUPPORT VECTOR MACHINE APPROACH

  2019cites this paper
• A retailer inventory model when the reliability of inspection system affects the percentage of defective items which are delivered to final customers

  2019cites this paper
• Estimating inelastic seismic response of reinforced concrete frame structures using a wavelet support vector machine and an artificial neural network

  2019cites this paper
• DE-ForABSA: A Novel Approach to Forecast Automobiles Sales Using Aspect Based Sentiment Analysis and Differential Evolution

  2019cites this paper
• Short Term Load Forecasting for Electrical Dispatcher of Baghdad City Based on SVM-PSO Method

  2018influential citation
• Short-Term Load Forecasting for Electrical Dispatcher of Baghdad City based on SVM-FA

  2018cites this paper
• A methodology for the semi-automatic generation of analytical models in manufacturing

  2018cites this paper
• Price forecasting using an ACO-based support vector regression ensemble in cloud manufacturing

  2018cites this paper
• Probabilistic Performance-Based Optimum Seismic Design of RC Structures Considering Soil–Structure Interaction Effects

  2017cites this paper
• Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting

  2017cites this paper
• Customer demand prediction of service-oriented manufacturing using the least square support vector machine optimized by particle swarm optimization algorithm

  2017cites this paper
• A quantitative approach to design alternative evaluation based on data-driven performance prediction

  2017cites this paper
• A new enhanced support vector model based on general variable neighborhood search algorithm for supplier performance evaluation: A case study

  2017cites this paper
• Mechanical Fault Diagnosis Method Based on LMD Shannon Entropy and Improved Fuzzy C-means Clustering

  2017cites this paper
• Taiwanese export trade forecasting using firefly algorithm based K-means algorithm and SVR with wavelet transform

  2016cites this paper
• Machine learning in manufacturing: advantages, challenges, and applications

  2016cites this paper
• Changing States of Multistage Process Chains

  2016cites this paper
• Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model

  2016cites this paper
• Customer demand prediction of service-oriented manufacturing incorporating customer satisfaction

  2016cites this paper
• Disaster prediction model based on support vector machine for regression and improved differential evolution

  2016cites this paper
• Bearing degradation state recognition based on kernel PCA and wavelet kernel SVM

  2015cites this paper
• A multiwavelet support vector regression method for efficient reliability assessment

  2015cites this paper
• Providing decision support for replenishment operations using a genetic algorithms based fuzzy system

  2015cites this paper
• Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network

  2015cites this paper
• Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight

  2015cites this paper
• Application of Machine Learning to Identify State Drivers

  2015cites this paper
• Urban water demand forecasting by LS-SVM with tuning based on elitist teaching-learning-based optimization

  2014cites this paper
• Haplotype inference using a novel binary particle swarm optimization algorithm

  2014cites this paper
• Demand Forecasting for Server Manufacturing Using Neural Networks

  2014cites this paper
• A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization

  2013cites this paper
• Modeling for measuring productive efficiency of companies in the household cleaning sector

  2013cites this paper
• Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty

  2013cites this paper
• Comparing Inflation Forecasts Using an $\varepsilon$-wavelet Twin Support Vector Regression

  2013cites this paper
• Seismic reliability assessment of RC structures including soil-structure interaction using wavelet weighted least squares support vector machine

  2013cites this paper
• Fault location based on relevance vector machine and decision directed acyclic graph

  2013cites this paper
• Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms

  2013cites this paper
• Multiple Forecasting Algorithms for Demand Forecasting in the Fashion Industry

  2013cites this paper
• Interval type-2 fuzzy kernel based support vector regression for image denoising

  2013cites this paper
• Demand Forecasting Optimization in Supply Chain

  2012cites this paper
• Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process

  2012cites this paper
• Car assembly line fault diagnosis model based on triangular fuzzy Gaussian wavelet kernel support vector classifier machine and genetic algorithm

  2011influential citation
• The complex fuzzy system forecasting model based on fuzzy SVM with triangular fuzzy number input and output

  2011cites this paper
• Forecasting model of residential load based on general regression neural network and PSO-Bayes least squares support vector machine

  2011cites this paper
• Fuzzy robust nu-support vector machine with penalizing hybrid noises on symmetric triangular fuzzy number space

  2011cites this paper
• Mean Local Trend Error and Fuzzy-Inference-Based Multicriteria Evaluation for Supply Chain Demand Forecasting

  2011cites this paper
• The forecasting model based on modified SVRM and PSO penalizing Gaussian noise

  2011cites this paper
• A Particle Swarm Optimization Based Grey Forecast Model of Underground Pressure for Working Surface

  2011cites this paper
• Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression

  2010cites this paper
• Car assembly line fault diagnosis based on modified support vector classifier machine

  2010cites this paper
• Car assembly line fault diagnosis based on robust wavelet SVC and PSO

  2010cites this paper
• AFTER-IQEA combination forecasting model for cosmetics sales forecasting

  2010cites this paper
• Fuzzy support vector regression machine with penalizing Gaussian noises on triangular fuzzy number space

  2010cites this paper
• Fault diagnosis model based on Gaussian support vector classifier machine

  2010cites this paper