A novel double incremental learning algorithm for time series prediction

Understanding Subtitles by Character-Level Sequence-to-Sequence Learning

(2017) Haijun Zhang et al.   IEEE Transactions on Industrial Informatics

ieRSPOP: A novel incremental rough set-based pseudo outer-product with ensemble learning

(2016) Ron Tor Das et al.   APPLIED SOFT COMPUTING

Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance

(2016) Rohitash Chandra et al.   APPLIED SOFT COMPUTING

Financial time series forecasting using rough sets with time-weighted rule voting

(2016) Mariusz Podsiadlo et al.   EXPERT SYSTEMS WITH APPLICATIONS

A fast incremental extreme learning machine algorithm for data streams classification

(2016) Shuliang Xu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Financial time series prediction using a dendritic neuron model

(2016) Tianle Zhou et al.   KNOWLEDGE-BASED SYSTEMS

A Self-Organizing Incremental Neural Network based on local distribution learning

(2016) Youlu Xing et al.   NEURAL NETWORKS

Forecasting aggregate retail sales: The case of South Africa

(2015) Goodness C. Aye et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Incremental learning from news events

(2015) Linmei Hu et al.   KNOWLEDGE-BASED SYSTEMS

A three-way incremental-learning algorithm for radar emitter identification

(2015) Xin Xu et al.   Frontiers of Computer Science

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

Incremental Support Vector Learning for Ordinal Regression

(2015) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

Prediction of multivariate chaotic time series via radial basis function neural network

(2013) Diyi Chen et al.   COMPLEXITY

TAGUCHI'S DESIGN OF EXPERIMENT IN COMBINATION SELECTION FOR A CHAOTIC TIME SERIES FORECASTING METHOD USING ENSEMBLE ARTIFICIAL NEURAL NETWORKS

(2013) Muhammad Ardalani-Farsa et al.   CYBERNETICS AND SYSTEMS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Short-term traffic flow forecasting: parametric and nonparametric approaches via emotional temporal difference learning

(2012) Javad Abdi et al.   NEURAL COMPUTING & APPLICATIONS

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

(2012) Rohitash Chandra et al.   NEUROCOMPUTING

Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction

(2012) A. Miranian et al.   IEEE Transactions on Neural Networks and Learning Systems

RESIDUAL ANALYSIS AND COMBINATION OF EMBEDDING THEOREM AND ARTIFICIAL INTELLIGENCE IN CHAOTIC TIME SERIES FORECASTING

(2011) Muhammad Ardalani-Farsa et al.   APPLIED ARTIFICIAL INTELLIGENCE

A support vector machine based MSM model for financial short-term volatility forecasting

(2011) Baohua Wang et al.   NEURAL COMPUTING & APPLICATIONS

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm

(2011) Juan Peralta Donate et al.   NEURAL COMPUTING & APPLICATIONS

Fuzzy wavelet neural network based on fuzzy clustering and gradient techniques for time series prediction

(2010) Rahib H. Abiyev   NEURAL COMPUTING & APPLICATIONS

Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks

(2010) Muhammad Ardalani-Farsa et al.   NEUROCOMPUTING

The hybrid forecasting model based on chaotic mapping, genetic algorithm and support vector machine

(2009) Qi Wu   EXPERT SYSTEMS WITH APPLICATIONS

Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM

(2008) Yingwei Zhang   CHEMICAL ENGINEERING SCIENCE

A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications

(2008) Cheng-Jian Lin et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction

(2008) Catherine Vairappan et al.   NEUROCOMPUTING

Soft-computing techniques and ARMA model for time series prediction

(2007) I. Rojas et al.   NEUROCOMPUTING