Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting

(2020) Hongtao Li et al.   APPLIED SOFT COMPUTING

Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning

(2020) Jianhua Zhang et al.   Cognitive Neurodynamics

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

(2020) Cen Chen et al.   ACM Transactions on Knowledge Discovery from Data

An angle dominance criterion for evolutionary many-objective optimization

(2019) Yuan Liu et al.   INFORMATION SCIENCES

An efficient Elman neural network classifier with cloud supported internet of things structure for health monitoring system

(2019) Sivakumar Krishnan et al.   Computer Networks

A hybrid Elman recurrent neural network, group search optimization, and refined VMD-based framework for multi-step ahead electricity price forecasting

(2019) R. Hannah Jessie Rani et al.   SOFT COMPUTING

An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market

(2019) Reza Ramezanian et al.   APPLIED SOFT COMPUTING

Effects of direct input–output connections on multilayer perceptron neural networks for time series prediction

(2019) Yaoli Wang et al.   SOFT COMPUTING

An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction

(2019) Rajashree Dash et al.   APPLIED SOFT COMPUTING

A scheduling scheme in the cloud computing environment using deep Q-learning

(2019) Zhao Tong et al.   INFORMATION SCIENCES

Low dimensional mid-term chaotic time series prediction by delay parameterized method

(2019) Xiaoxiang Guo et al.   INFORMATION SCIENCES

Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convolutional and improved Elman neural network

(2019) Jibin Wang   KNOWLEDGE-BASED SYSTEMS

Multi-threaded learning control mechanism for neural networks

(2018) Dawid Połap et al.   Future Generation Computer Systems-The International Journal of eScience

GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data

(2018) Cen Chen et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Heat production optimization using bio-inspired algorithms

(2018) Marcin Woźniak et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis

(2018) Francesco Beritelli et al.   NEURAL NETWORKS

Lagged correlation-based deep learning for directional trend change prediction in financial time series

(2018) Ben Moews et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks

(2018) Jianguo Chen et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A Performance Comparison of Neural Networks in Forecasting Stock Price Trend

(2017) Binghui Wu et al.   International Journal of Computational Intelligence Systems

Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval

(2017) Marcin Woźniak et al.   NEURAL NETWORKS

The fractal feature and price trend in the gold future market at the Shanghai Futures Exchange (SFE)

(2017) Binghui Wu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Deep Elman recurrent neural networks for statistical parametric speech synthesis

(2017) Sivanand Achanta et al.   SPEECH COMMUNICATION

An intelligent pattern recognition model for supporting investment decisions in stock market

(2016) Tai-liang Chen et al.   INFORMATION SCIENCES

A comprehensive evaluation of random vector functional link networks

(2016) Le Zhang et al.   INFORMATION SCIENCES

Random vector functional link network for short-term electricity load demand forecasting

(2016) Ye Ren et al.   INFORMATION SCIENCES

Stock market trend prediction using AHP and weighted kernel LS-SVM

(2016) Ivana Marković et al.   SOFT COMPUTING

A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices

(2015) Rudra Kalyan Nayak et al.   APPLIED SOFT COMPUTING

Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks

(2015) Leonel A. Laboissiere et al.   APPLIED SOFT COMPUTING

A hybrid fuzzy time series model based on granular computing for stock price forecasting

(2015) Mu-Yen Chen et al.   INFORMATION SCIENCES

An innovative recurrent error-based neuro-fuzzy system with momentum for stock price prediction

(2015) Mohammad Sultan Mahmud et al.   SOFT COMPUTING

Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networks

(2010) S.I. Ao et al.   APPLIED SOFT COMPUTING

TAR-cointegration neural network model: An empirical analysis of exchange rates and stock returns

(2009) Melike Bildirici et al.   EXPERT SYSTEMS WITH APPLICATIONS