Financial Time Series Prediction Using Elman Recurrent Random Neural Networks

Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks

(2015) Charles E. Martin et al.   Computational Intelligence and Neuroscience

Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms

(2015) Beatriz A. Garro et al.   Computational Intelligence and Neuroscience

PRINCIPAL COMPONENT ANALYSIS (PCA) FOR ESTIMATING CHLOROPHYLL CONCENTRATION USING FORWARD AND GENERALIZED REGRESSION NEURAL NETWORKS

(2014) Mohammad Zounemat-Kermani   APPLIED ARTIFICIAL INTELLIGENCE

Robust feedforward and recurrent neural network based dynamic weighted combination models for software reliability prediction

(2014) Pratik Roy et al.   APPLIED SOFT COMPUTING

CID: an efficient complexity-invariant distance for time series

(2013) Gustavo E. A. P. A. Batista et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network

(2013) David Enke et al.   INTELLIGENT AUTOMATION AND SOFT COMPUTING

Financial time series prediction by a random data-time effective RBF neural network

(2013) Hongli Niu et al.   SOFT COMPUTING

Exponential synchronization of stochastic Cohen–Grossberg neural networks with mixed time-varying delays and reaction–diffusion via periodically intermittent control

(2012) Qintao Gan   NEURAL NETWORKS

Robust stability for uncertain stochastic neural network with delay and impulses

(2012) Lijun Pan et al.   NEUROCOMPUTING

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

(2012) Rohitash Chandra et al.   NEUROCOMPUTING

Modeling stock price dynamics by continuum percolation system and relevant complex systems analysis

(2012) Di Xiao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Financial time series forecasting using LPP and SVM optimized by PSO

(2012) Guo Zhiqiang et al.   SOFT COMPUTING

Statistical analysis and forecasting of return interval for SSE and model by lattice percolation system and neural network

(2011) Fei Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A novel model by evolving partially connected neural network for stock price trend forecasting

(2011) Pei-Chann Chang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Integrating Independent Component Analysis and Principal Component Analysis with Neural Network to Predict Chinese Stock Market

(2011) Haifan Liu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Elman neural networks for characterizing voids in welded strips: a study

(2011) Matteo Cacciola et al.   NEURAL COMPUTING & APPLICATIONS

A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems

(2010) Arash Bahrammirzaee   NEURAL COMPUTING & APPLICATIONS

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

(2010) Muhammad Ardalani-Farsa et al.   NEUROCOMPUTING

Power transformer differential protection using neural network Principal Component Analysis and Radial Basis Function Neural Network

(2010) Manoj Tripathy   SIMULATION MODELLING PRACTICE AND THEORY

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Forecasting model of global stock index by stochastic time effective neural network

(2009) Zhe Liao et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Novel Connectionist System for Unconstrained Handwriting Recognition

(2009) A. Graves et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Neural networks and statistical techniques: A review of applications

(2007) Mukta Paliwal et al.   EXPERT SYSTEMS WITH APPLICATIONS