Effective long short-term memory with fruit fly optimization algorithm for time series forecasting
出版年份 2020 全文链接
标题
Effective long short-term memory with fruit fly optimization algorithm for time series forecasting
作者
关键词
-
出版物
SOFT COMPUTING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-17
DOI
10.1007/s00500-020-04855-2
参考文献
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。- Forecasting energy consumption and wind power generation using deep echo state network
- (2020) Huanling Hu et al. RENEWABLE ENERGY
- Predicting housing price in China based on long short-term memory incorporating modified genetic algorithm
- (2019) Rui Liu et al. SOFT COMPUTING
- Optimizing echo state network with backtracking search optimization algorithm for time series forecasting
- (2019) Zhigang Wang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform
- (2019) Zihan Chang et al. ENERGY
- Predicting residential energy consumption using CNN-LSTM neural networks
- (2019) Tae-Young Kim et al. ENERGY
- Optimizing an integrated inventory-routing system for multi-item joint replenishment and coordinated outbound delivery using differential evolution algorithm
- (2019) Hui Qu et al. APPLIED SOFT COMPUTING
- Effective energy consumption forecasting using enhanced bagged echo state network
- (2019) Huanling Hu et al. ENERGY
- Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
- (2018) Jesus Lago et al. APPLIED ENERGY
- Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction
- (2018) Lu Peng et al. ENERGY
- Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China
- (2018) Lin Wang et al. ENERGY
- Deep learning with long short-term memory networks for financial market predictions
- (2018) Thomas Fischer et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models
- (2018) Ha Young Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- Web traffic anomaly detection using C-LSTM neural networks
- (2018) Tae-Young Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
- (2018) Shikhar Srivastava et al. SOLAR ENERGY
- Forecasting seasonal time series based on fuzzy techniques
- (2018) Linh Nguyen et al. FUZZY SETS AND SYSTEMS
- ParamILS: An Automatic Algorithm Configuration Framework
- (2018) F. Hutter et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Bidirectional handshaking LSTM for remaining useful life prediction
- (2018) Ahmed Elsheikh et al. NEUROCOMPUTING
- Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
- (2017) Yu-Rong Zeng et al. ENERGY
- A hybrid ETS–ANN model for time series forecasting
- (2017) Sibarama Panigrahi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
- (2017) Shancheng Jiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- LSTM network: a deep learning approach for short-term traffic forecast
- (2017) Zheng Zhao et al. IET Intelligent Transport Systems
- δ -agree AdaBoost stacked autoencoder for short-term traffic flow forecasting
- (2017) Teng Zhou et al. NEUROCOMPUTING
- Multi-objective evolutionary feature selection for online sales forecasting
- (2017) F. Jiménez et al. NEUROCOMPUTING
- A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
- (2017) Rui Hu et al. NEUROCOMPUTING
- Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting
- (2016) Guohua Cao et al. ENERGY
- Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations
- (2016) Jie Wang et al. ENERGY
- An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit
- (2016) Yu-Rong Zeng et al. International Journal of Computational Intelligence Systems
- An effective and efficient fruit fly optimization algorithm with level probability policy and its applications
- (2016) Lin Wang et al. KNOWLEDGE-BASED SYSTEMS
- Ship motion prediction using dynamic seasonal Rv SVR with phase space reconstruction and the chaos adaptive efficient FOA
- (2016) Ming-We Li et al. NEUROCOMPUTING
- Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
- (2016) Yun Bai et al. Atmospheric Pollution Research
- An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit
- (2016) Yu-Rong Zeng et al. International Journal of Computational Intelligence Systems
- Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation
- (2015) Xiao Feng et al. ATMOSPHERIC ENVIRONMENT
- Melt index prediction by least squares support vector machines with an adaptive mutation fruit fly optimization algorithm
- (2015) Wenchuan Wang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Neural Expert Weighting: A NEW framework for dynamic forecast combination
- (2015) Rafael de O. Valle dos Santos et al. EXPERT SYSTEMS WITH APPLICATIONS
- Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
- (2015) Lin Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
- (2015) Xiaolei Ma et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Automatic Time Series Forecasting: TheforecastPackage forR
- (2015) Rob J. Hyndman et al. Journal of Statistical Software
- A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data
- (2014) C. Narendra Babu et al. APPLIED SOFT COMPUTING
- A beginner's guide to tuning methods
- (2014) Elizabeth Montero et al. APPLIED SOFT COMPUTING
- Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle
- (2013) Wang Sheng et al. NONLINEAR DYNAMICS
- ANN-based residential water end-use demand forecasting model
- (2012) Christopher Bennett et al. EXPERT SYSTEMS WITH APPLICATIONS
- A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
- (2012) Hong-ze Li et al. KNOWLEDGE-BASED SYSTEMS
- A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example
- (2011) Wen-Tsao Pan KNOWLEDGE-BASED SYSTEMS
- Energy demand estimation of South Korea using artificial neural network
- (2009) Zong Woo Geem et al. ENERGY POLICY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started