Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr)
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By IEEE

0780321456

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Multicriteria decision making using fuzzy quantifiers

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495251 ◽

2002 ◽

Cited By ~ 11

Author(s):

R.R. Yager

Keyword(s):

Decision Making ◽

Multicriteria Decision Making ◽

Multicriteria Decision

Download Full-text

Neural networks and multivariate currency forecasting

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495259 ◽

2002 ◽

Author(s):

N. Kahhwa ◽

Gan Woon Seng

Keyword(s):

Neural Networks

Download Full-text

Predicting the Canadian spot exchange rate with neural networks

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495261 ◽

2002 ◽

Author(s):

M. Staley ◽

P. Kim

Keyword(s):

Neural Networks ◽

Exchange Rate ◽

Spot Exchange Rate

Download Full-text

Predicting company failure-a comparison between neural networks and established statistical techniques by applying the McNemar test

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495257 ◽

2002 ◽

Author(s):

R.J. Van Eyden ◽

P.W.C. De Wit ◽

J.C. Arron

Keyword(s):

Neural Networks ◽

Statistical Techniques ◽

Mcnemar Test

Download Full-text

Neural networks in finance: an information analysis

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495273 ◽

2002 ◽

Author(s):

R.N. Kahn ◽

A.K. Basu

Keyword(s):

Neural Networks ◽

Information Analysis

Download Full-text

An intelligent system for financial time series prediction combining dynamical systems theory, fractal theory, and statistical methods

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495269 ◽

2002 ◽

Cited By ~ 10

Author(s):

O. Castillo ◽

P. Melin

Keyword(s):

Time Series ◽

Dynamical Systems ◽

Systems Theory ◽

Statistical Methods ◽

Intelligent System ◽

Financial Time Series ◽

Fractal Theory ◽

Time Series Prediction ◽

Dynamical Systems Theory ◽

Financial Time

Download Full-text

Function approximation with learning networks in the financial field and its application to the interest rate sector

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495272 ◽

2002 ◽

Author(s):

G.A. Hoffmann

Keyword(s):

Interest Rate ◽

Function Approximation ◽

Learning Networks ◽

The Interest Rate

Download Full-text

Trend visualization

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495268 ◽

2002 ◽

Cited By ~ 2

Author(s):

S.W. Piche

Download Full-text

A neural network model to exploit the econometric properties of Austrian IPOs

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495265 ◽

2002 ◽

Cited By ~ 2

Author(s):

C. Haefke ◽

C. Helmenstein

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model

Download Full-text

Forecasting by density shaping using neural networks

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr) ◽

10.1109/cifer.1995.495253 ◽

2002 ◽

Cited By ~ 1

Author(s):

Y. Baram ◽

Z. Roth

Keyword(s):

Neural Networks

Download Full-text

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Multicriteria decision making using fuzzy quantifiers

Neural networks and multivariate currency forecasting

Predicting the Canadian spot exchange rate with neural networks

Predicting company failure-a comparison between neural networks and established statistical techniques by applying the McNemar test

Neural networks in finance: an information analysis

An intelligent system for financial time series prediction combining dynamical systems theory, fractal theory, and statistical methods

Function approximation with learning networks in the financial field and its application to the interest rate sector

Trend visualization

A neural network model to exploit the econometric properties of Austrian IPOs

Forecasting by density shaping using neural networks

Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr)
Latest Publications