Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering (CIFEr): April 9-11, 1995, New York City, Crowne Plaza ManhattanIEEE Service Center, 1995 - 192 páginas |
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Página 88
... output parameter value is defined . Thus , we avoid discrete output values . Define : y = f ( x ) where x : input value , Instead of : y = y : output value , f : continuous function y1 if x = ... Yn if x = ... B Use of fuzzy logic ...
... output parameter value is defined . Thus , we avoid discrete output values . Define : y = f ( x ) where x : input value , Instead of : y = y : output value , f : continuous function y1 if x = ... Yn if x = ... B Use of fuzzy logic ...
Página 280
... output and input denote minimal dis- tances that are required in the input patterns and the minimum discrimination at the output , respectively . The following observations can be made from ( 2 ) : 1. If || W || ≤ | 8 | , then the ...
... output and input denote minimal dis- tances that are required in the input patterns and the minimum discrimination at the output , respectively . The following observations can be made from ( 2 ) : 1. If || W || ≤ | 8 | , then the ...
Página 282
... output ( crisp ) is computed by finding the centroid of the corresponding K output patterns . In the above formulation , there are no steps requiring the construction of fuzzy rules or specifying membership functions as in conventional ...
... output ( crisp ) is computed by finding the centroid of the corresponding K output patterns . In the above formulation , there are no steps requiring the construction of fuzzy rules or specifying membership functions as in conventional ...
Contenido
Solving Robust Optimization Models in Finance | 1 |
FINANCIAL COMPUTING ENVIRONMENTS | 14 |
MARKET BEHAVIOR MODELS | 27 |
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Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Términos y frases comunes
Adaptive RPCL-CLP analysis applications approach Artificial Neural Networks attributes average Black/Scholes bootstrap calculated call market classification cluster companies computed correlation dimension currency data set days to expiration decision defined described determine deterministic distribution dynamical systems economic efficient equation estimate evaluation example exchange rate factors Figure financial ratios financial time series forecasting future futures contracts fuzzy set GEMGA Genetic Algorithms IEEE implementation implied volatilities Index Prices indices input interest rate Journal Kalman filter layer linear linear regression local volatility MACD mathematical models Mean-Filtered measure method Moneyness neural network node nonlinear open-to-open optimization option prices option valuation output paper patterns performance prediction private ECU problem random Recon regression model residual returns RMSVE rules sample selection simulation standard deviation statistical stochastic Stock Exchange stock market stock market index structure techniques University variables vector volatility function