Forecasting S&P 500 stock index futures with a hybrid AI system
R Tsaih, Y Hsu, CC Lai - Decision support systems, 1998 - Elsevier
This study presents a hybrid AI (artificial intelligence) approach to the implementation of
trading strategies in the S&P 500 stock index futures market. The hybrid AI approach …
trading strategies in the S&P 500 stock index futures market. The hybrid AI approach …
Neural networks in finance and economics forecasting
W Huang, KK Lai, Y Nakamori, S Wang… - International Journal of …, 2007 - World Scientific
Artificial neural networks (ANNs) have been widely applied to finance and economic
forecasting as a powerful modeling technique. By reviewing the related literature, we …
forecasting as a powerful modeling technique. By reviewing the related literature, we …
The use of big data analytics to predict the foreign exchange rate based on public media: A machine-learning experiment
RH Tsaih, BS Kuo, TH Lin, CC Hsu - It Professional, 2018 - ieeexplore.ieee.org
The authors analyze relevant public information provided by new media to predict the
movement of the USD/TWD exchange rate and explore whether big data analytics with …
movement of the USD/TWD exchange rate and explore whether big data analytics with …
Pupil Learning Mechanism
Studies on artificial neural networks rarely address both vanishing gradients and overfitting
issues. In this study, we follow the pupil learning procedure, which has the features of …
issues. In this study, we follow the pupil learning procedure, which has the features of …
Sensitivity analysis, neural networks, and the finance
R Tsaih - IJCNN'99. International Joint Conference on Neural …, 1999 - ieeexplore.ieee.org
The paper investigates whether the sensitivity analysis can be used not only as a tool to
read the knowledge embedded in artificial neural networks (ANNs), but also as a tool to …
read the knowledge embedded in artificial neural networks (ANNs), but also as a tool to …
The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLu Activation Function for Binary Input/Output Problems
YH Tsai, YJ Jheng, RH Tsaih - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Rare Artificial Neural Networks studies address simultaneously the challenges of (1)
systematically adjusting the amount of used hidden layer nodes within the learning …
systematically adjusting the amount of used hidden layer nodes within the learning …
Smart Microfinance Platform Service for Migrant Workers
LL Tsao, RH Tsaih - 2023 IEEE/ACIS 23rd International …, 2023 - ieeexplore.ieee.org
The disruptive technology-enabled innovation in financial services has made banking no
longer only in the hands of banks. Everyone should be included in the financial …
longer only in the hands of banks. Everyone should be included in the financial …
類神經網路應用於戶地產估價之研究
蔡瑞煌， 高明志， 張金鶚 - 住宅學報, 1999 - airitilibrary.com
由於房地產市場為一不完全市場, 消費者在購屋的同時常因資訊的不健全而遭受不必要之損失,
因此如何更精確的獲得房地產估價資訊實為健全台灣房地產市場之要務. 本研究探討如何有效地 …
因此如何更精確的獲得房地產估價資訊實為健全台灣房地產市場之要務. 本研究探討如何有效地 …
A guide for the upper bound on the number of continuous-valued hidden nodes of a feed-forward network
RH Tsaih, Y Wan - Artificial Neural Networks–ICANN 2009: 19th …, 2009 - Springer
This study proposes and validates a construction concept for the realization of a real-valued
single-hidden layer feed-forward neural network (SLFN) with continuous-valued hidden …
single-hidden layer feed-forward neural network (SLFN) with continuous-valued hidden …
[PDF][PDF] Learning the neuron functions within neural networks based on genetic programming
AJ Barton - 2009 - repository.library.carleton.ca
ProQuest Dissertations Page 1 LEARNING THE NEURON FUNCTIONS WITHIN NEURAL
NETWORKS BASED ON GENETIC PROGRAMMING by Alan J. Barton A thesis submitted to the …
NETWORKS BASED ON GENETIC PROGRAMMING by Alan J. Barton A thesis submitted to the …