相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction
Yun Bai et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2019)
Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search-least squares support vector regression
Min-Yuan Cheng et al.
NEURAL COMPUTING & APPLICATIONS (2019)
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture
Hossam Faris et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption
Mohammad H. Alobaidi et al.
APPLIED ENERGY (2018)
Machine learning-based thermal response time ahead energy demand prediction for building heating systems
Yabin Guo et al.
APPLIED ENERGY (2018)
A novel ensemble learning approach to support building energy use prediction
Zeyu Wang et al.
ENERGY AND BUILDINGS (2018)
Fuzzy regression model based on geometric coordinate points distance and application to performance evaluation
Yanbing Gong et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)
Neural network based optimization approach for energy demand prediction in smart grid
K. Muralitharan et al.
NEUROCOMPUTING (2018)
A review of data-driven approaches for prediction and classification of building energy consumption
Yixuan Wei et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
A review of data-driven building energy consumption prediction studies
Kadir Amasyali et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Recent advances in electricity price forecasting: A review of probabilistic forecasting
Jakub Nowotarski et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
Abbas Rohani et al.
RENEWABLE ENERGY (2018)
New Discrete-Time ZNN Models for Least-Squares Solution of Dynamic Linear Equation System With Time-Varying Rank-Deficient Coefficient
Binbin Qiu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models
Jose de Jesus Rubio et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)
Interpolation neural network model of a manufactured wind turbine
Jose de Jesus Rubio
NEURAL COMPUTING & APPLICATIONS (2017)
k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement
Junjing Yang et al.
ENERGY AND BUILDINGS (2017)
Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods
Zhang Yang et al.
APPLIED ENERGY (2017)
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
Seyedali Mirjalili et al.
NEURAL COMPUTING & APPLICATIONS (2016)
A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant
Goran Andonovski et al.
APPLIED SOFT COMPUTING (2016)
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
Fan Zhang et al.
ENERGY AND BUILDINGS (2016)
Forecasting of natural gas consumption with artificial neural networks
Jolanta Szoplik
ENERGY (2015)
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
Tzu-Tsung Wong
PATTERN RECOGNITION (2015)
Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy
Rishee K. Jain et al.
APPLIED ENERGY (2014)
PANFIS: A Novel Incremental Learning Machine
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
Predicting future hourly residential electrical consumption: A machine learning case study
Richard E. Edwards et al.
ENERGY AND BUILDINGS (2012)
Creating Evolving User Behavior Profiles Automatically
Jose Antonio Iglesias et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Projection of future transport energy demand of Thailand
Thirayoot Limanond et al.
ENERGY POLICY (2011)
Estimation of prediction error by using K-fold cross-validation
Tadayoshi Fushiki
STATISTICS AND COMPUTING (2011)
SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network
Jose de Jesus Rubio
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)
Predicting opportunities for greening and patterns of vegetation on private urban lands
Austin R. Troy et al.
ENVIRONMENTAL MANAGEMENT (2007)