An Ant-Lion Optimizer-Trained Artificial Neural Network System for Chaotic Electroencephalogram (EEG) Prediction
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An Ant-Lion Optimizer-Trained Artificial Neural Network System for Chaotic Electroencephalogram (EEG) Prediction
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 8, Issue 9, Pages 1613
Publisher
MDPI AG
Online
2018-09-11
DOI
10.3390/app8091613
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms
- (2017) Vadlamani Ravi et al. Swarm and Evolutionary Computation
- Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
- (2016) Seyedali Mirjalili et al. APPLIED INTELLIGENCE
- Forecasting business cycle with chaotic time series based on neural network with weighted fuzzy membership functions
- (2016) Soo H. Chai et al. CHAOS SOLITONS & FRACTALS
- Chaotic time series prediction via artificial neural square fuzzy inference system
- (2016) Gholamali Heydari et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller
- (2016) More Raju et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Financial time series prediction using a dendritic neuron model
- (2016) Tianle Zhou et al. KNOWLEDGE-BASED SYSTEMS
- Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer
- (2016) Vikram Kumar Kamboj et al. NEURAL COMPUTING & APPLICATIONS
- Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data
- (2016) Boubacar Doucoure et al. RENEWABLE ENERGY
- Dynamic Adaptive Ant Lion Optimizer applied to route planning for unmanned aerial vehicle
- (2016) Peng Yao et al. SOFT COMPUTING
- The Ant Lion Optimizer
- (2015) Seyedali Mirjalili ADVANCES IN ENGINEERING SOFTWARE
- Analysis and prediction of aperiodic hydrodynamic oscillatory time series by feed-forward neural networks, fuzzy logic, and a local nonlinear predictor
- (2015) Pier Luigi Gentili et al. CHAOS
- Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
- (2015) Lin Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm
- (2015) Dai-Zheng Huang et al. Journal of Electrical Engineering & Technology
- Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
- (2015) Youngmin Seo et al. JOURNAL OF HYDROLOGY
- Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms
- (2015) Ping Jiang et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- An adaptive local linear optimized radial basis functional neural network model for financial time series prediction
- (2015) A. Patra et al. NEURAL COMPUTING & APPLICATIONS
- Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
- (2015) Rohitash Chandra IEEE Transactions on Neural Networks and Learning Systems
- Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange
- (2014) Martha Pulido et al. INFORMATION SCIENCES
- A hybridization of teaching–learning-based optimization and differential evolution for chaotic time series prediction
- (2014) Lei Wang et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of multivariate chaotic time series via radial basis function neural network
- (2013) Diyi Chen et al. COMPLEXITY
- Bat algorithm: a novel approach for global engineering optimization
- (2013) Xin‐She Yang et al. ENGINEERING COMPUTATIONS
- Weather Adaptive Traffic Prediction Using Neurowavelet Models
- (2013) Stephen Dunne et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow
- (2013) Chenxi Ding et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Cuckoo search: recent advances and applications
- (2013) Xin-She Yang et al. NEURAL COMPUTING & APPLICATIONS
- New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series
- (2013) Wei-Chang Yeh IEEE Transactions on Neural Networks and Learning Systems
- Time-series data mining
- (2012) Philippe Esling et al. ACM COMPUTING SURVEYS
- Chaotic time series prediction with employment of ant colony optimization
- (2012) Vasilii A. Gromov et al. EXPERT SYSTEMS WITH APPLICATIONS
- Wavelet neural network model for reservoir inflow prediction
- (2012) U. Okkan Scientia Iranica
- An integrated ANN-GA for reliability based inspection of concrete bridge decks considering extent of corrosion-induced cracks and life cycle costs
- (2012) A. Firouzi et al. Scientia Iranica
- Shape optimization of arch dams by metaheuristics and neural networks for frequency constraints
- (2011) S. Gholizadeh et al. Scientia Iranica
- Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm
- (2011) J. Ghorbanian et al. Scientia Iranica
- Anomaly detection using a self-organizing map and particle swarm optimization
- (2011) M. Lotfi Shahreza et al. Scientia Iranica
- Application of chaotic ant swarm optimization in electric load forecasting
- (2010) Wei-Chiang Hong ENERGY POLICY
- Adaptive neural network model for time-series forecasting
- (2010) W.K. Wong et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
- (2010) J. P. S. Catalao et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling
- (2010) Min Gan et al. INFORMATION SCIENCES
- A web-based tool for teaching neural network concepts
- (2009) Aybars Ugur et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey
- (2009) M. Duran Toksarı ENERGY POLICY
- Power load forecasting using support vector machine and ant colony optimization
- (2009) Dongxiao Niu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025
- (2008) Alper Ünler ENERGY POLICY
- PSO-based single multiplicative neuron model for time series prediction
- (2008) Liang Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search