Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm

A hybrid model based on selective ensemble for energy consumption forecasting in China

(2018) Jin Xiao et al.   ENERGY

Energy consumption forecasting based on Elman neural networks with evolutive optimization

(2018) L.G.B. Ruiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

(2018) Xueheng Qiu et al.   KNOWLEDGE-BASED SYSTEMS

A dynamic state transition algorithm with application to sensor network localization

(2018) Xiaojun Zhou et al.   NEUROCOMPUTING

A New Algorithm of SAR Image Target Recognition Based on Improved Deep Convolutional Neural Network

(2018) Fei Gao et al.   Cognitive Computation

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

(2018) Yukun Ma et al.   Cognitive Computation

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem

(2018) Zhaoke Huang et al.   Cognitive Computation

Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm

(2018) Ibrahim Aljarah et al.   Cognitive Computation

A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm

(2018) Xiaojun Zhou et al.   IEEE Transactions on Cybernetics

Set-point Tracking and Multi-objective Optimization-Based PID Control for the Goethite Process

(2018) Xiaojun Zhou et al.   IEEE Access

A hybrid feature selection method based on binary state transition algorithm and ReliefF

(2018) Zhaoke Huang et al.   IEEE Journal of Biomedical and Health Informatics

Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy

(2017) Jie Han et al.   HYDROMETALLURGY

Dynamic optimization based on state transition algorithm for copper removal process

(2017) Miao Huang et al.   NEURAL COMPUTING & APPLICATIONS

Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model

(2016) Chaoqing Yuan et al.   ENERGY

Fractional-order PID controller tuning using continuous state transition algorithm

(2016) Fengxue Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Discrete state transition algorithm for unconstrained integer optimization problems

(2016) Xiaojun Zhou et al.   NEUROCOMPUTING

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

Optimal design of water distribution networks by a discrete state transition algorithm

(2015) Xiaojun Zhou et al.   ENGINEERING OPTIMIZATION

Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines

(2015) Nitin Anand Shrivastava et al.   IEEE Transactions on Industrial Informatics

Robust and Sparse Linear Programming Twin Support Vector Machines

(2014) M. Tanveer   Cognitive Computation

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

State transition algorithm

(2012) Xiaojun Zhou et al.   Journal of Industrial and Management Optimization

A Twin Multi-Class Classification Support Vector Machine

(2012) Yitian Xu et al.   Cognitive Computation

Projection of future transport energy demand of Thailand

(2011) Thirayoot Limanond et al.   ENERGY POLICY

Annual electricity consumption analysis and forecasting of China based on few observations methods

(2010) Ming Meng et al.   ENERGY CONVERSION AND MANAGEMENT