-
1
-
-
58949100905
-
Forecasting histogram time series with k-nearest neighbours methods
-
J. Arroyo and C. Mate, Forecasting histogram time series with k-nearest neighbours methods, Int. J. Forecast. 25 (2009) 192-207.
-
(2009)
Int. J. Forecast.
, vol.25
, pp. 192-207
-
-
Arroyo, J.1
Mate, C.2
-
2
-
-
56349117682
-
Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water
-
M. K. Das and N. Kishor, Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water, Expert Syst. Appl. 36 (2009) 1142-1154.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 1142-1154
-
-
Das, M.K.1
Kishor, N.2
-
3
-
-
51349101067
-
Shortrange forecast of atmospheric pollutants using non-linear prediction method
-
V. N. Khokhlov, A. V. Glushkov, N. S. Loboda and Y. Y. Bunyakova, Shortrange forecast of atmospheric pollutants using non-linear prediction method, Atmos. Environ. 42 (2008) 7284-7292.
-
(2008)
Atmos. Environ.
, vol.42
, pp. 7284-7292
-
-
Khokhlov, V.N.1
Glushkov, A.V.2
Loboda, N.S.3
Bunyakova, Y.Y.4
-
4
-
-
33748082327
-
An evolutionary approach to the combination of multiple classifiers to predict a stock price index
-
M. J. Kim, S. H. Min and I. Han, An evolutionary approach to the combination of multiple classifiers to predict a stock price index, Expert Syst. Appl. 31 (2006) 241-247.
-
(2006)
Expert Syst. Appl.
, vol.31
, pp. 241-247
-
-
Kim, M.J.1
Min, S.H.2
Han, I.3
-
5
-
-
0033096706
-
A comparison between neural networks and chaotic models for exchange rate prediction
-
F. Lisi and R. A. Schiavo, A comparison between neural networks and chaotic models for exchange rate prediction, Comput. Stat. Data Anal. 30 (1999) 87-102.
-
(1999)
Comput. Stat. Data Anal.
, vol.30
, pp. 87-102
-
-
Lisi, F.1
Schiavo, R.A.2
-
7
-
-
0034694864
-
Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 3 - A nonparametric probabilistic forecast model
-
A. Sharma, Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 3 - A nonparametric probabilistic forecast model, J. Hydrol. 239 (2000) 249-258.
-
(2000)
J. Hydrol.
, vol.239
, pp. 249-258
-
-
Sharma, A.1
-
8
-
-
58249137246
-
Predicting categorical forest variables using an improved k-nearest neighbour estimator and landsat imagery
-
E. O. Tomppo, O. Gagliano, F. D. Natale, M. Katila and R. E. McRoberts, Predicting categorical forest variables using an improved k-nearest neighbour estimator and landsat imagery, Remote Sens. Environ. 113 (2009) 500-517.
-
(2009)
Remote Sens. Environ.
, vol.113
, pp. 500-517
-
-
Tomppo, E.O.1
Gagliano, O.2
Natale, F.D.3
Katila, M.4
McRoberts, R.E.5
-
9
-
-
60849099018
-
A temporal case retrieval model to predict railway passenger arrivals
-
T. H. Tsai, A temporal case retrieval model to predict railway passenger arrivals, Expert Syst. Appl. 36 8876-8882.
-
Expert Syst. Appl.
, vol.36
, pp. 8876-8882
-
-
Tsai, T.H.1
-
10
-
-
33644758281
-
Comparison of four different time series methods to forecast hepatitis A virus infection
-
M. Ture, and I. Kurt, Comparison of four different time series methods to forecast hepatitis A virus infection, Expert Syst. Appl. 31 (2006) 41-46.
-
(2006)
Expert Syst. Appl.
, vol.31
, pp. 41-46
-
-
Ture, M.1
Kurt, I.2
-
11
-
-
60849137473
-
An expert system to predict protein thermostability using decision tree
-
L. C. Wu, J. X. Lee, H. D. Huang, B. J. Liu and J. T. Horng, An expert system to predict protein thermostability using decision tree, Expert Syst. Appl. 36 (2009) 9007-9014.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 9007-9014
-
-
Wu, L.C.1
Lee, J.X.2
Huang, H.D.3
Liu, B.J.4
Horng, J.T.5
-
13
-
-
59649095913
-
Can we predict crashes? the case of the Brazilian stock market
-
D. O. Cajueiro, B. M. Tabak and F. K. Werneck, Can we predict crashes? The case of the Brazilian stock market, J. Phys. A 388 (2009) 1603-1609.
-
(2009)
J. Phys. A
, vol.388
, pp. 1603-1609
-
-
Cajueiro, D.O.1
Tabak, B.M.2
Werneck, F.K.3
-
14
-
-
84858816451
-
Forecasting volatility on the U.K. stock market: A test of the conditional autoregressive range model
-
H. C. Chou, Forecasting volatility on the U.K. stock market: A test of the conditional autoregressive range model, Int. Res. J. Financ. Econ. 10 (2007) 7-13.
-
(2007)
Int. Res. J. Financ. Econ.
, vol.10
, pp. 7-13
-
-
Chou, H.C.1
-
15
-
-
0002528209
-
The behavior of stock-market prices
-
E. F. Fama, The behavior of stock-market prices, J. Bus. 38 (1965) 34-105.
-
(1965)
J. Bus.
, vol.38
, pp. 34-105
-
-
Fama, E.F.1
-
17
-
-
0041763698
-
Comparing linear and nonlinear forecasts for stock returns
-
A. Kanas and A. Yannopoulos, Comparing linear and nonlinear forecasts for stock returns, Int. Rev. Econ. Financ. 10 (2001) 383-398.
-
(2001)
Int. Rev. Econ. Financ.
, vol.10
, pp. 383-398
-
-
Kanas, A.1
Yannopoulos, A.2
-
18
-
-
9244248635
-
Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike
-
W. Leigh, R. Hightower and R. Modani, Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike, Expert Syst. Appl. 28 (2005) 1-8.
-
(2005)
Expert Syst. Appl.
, vol.28
, pp. 1-8
-
-
Leigh, W.1
Hightower, R.2
Modani, R.3
-
19
-
-
0041883740
-
Neural network forecasts of Canadian stock returns using accounting ratios
-
D. Olson and C. Mossman, Neural network forecasts of Canadian stock returns using accounting ratios, Int. J. Forecast. 19 (2003) 453-465.
-
(2003)
Int. J. Forecast.
, vol.19
, pp. 453-465
-
-
Olson, D.1
Mossman, C.2
-
20
-
-
0037379974
-
Critical market crashes
-
D. Sornette, Critical market crashes, Phys. Rep. 378 (2003) 1-98.
-
(2003)
Phys. Rep.
, vol.378
, pp. 1-98
-
-
Sornette, D.1
-
21
-
-
38149144400
-
Forecasting stock market prices in a thin security market
-
I. Virtanen and P. Yli-Olli, Forecasting stock market prices in a thin security market, Omega 15 (1987) 145-155.
-
(1987)
Omega
, vol.15
, pp. 145-155
-
-
Virtanen, I.1
Yli-Olli, P.2
-
22
-
-
0033101262
-
Origins of the scaling behaviour in the dynamics of financial data
-
A. Weron, S. Mercik and R. Weron, Origins of the scaling behaviour in the dynamics of financial data, J. Phys. A 264 (1999) 562-569.
-
(1999)
J. Phys. A
, vol.264
, pp. 562-569
-
-
Weron, A.1
Mercik, S.2
Weron, R.3
-
23
-
-
0010063925
-
An artificial neural network-GARCH model for international stock return volatility
-
R. G. Donaldson and M. Kamstra, An artificial neural network-GARCH model for international stock return volatility, J. Empir. Financ. 4 (1997) 17-46.
-
(1997)
J. Empir. Financ.
, vol.4
, pp. 17-46
-
-
Donaldson, R.G.1
Kamstra, M.2
-
24
-
-
0000557541
-
Forecasting stock marketvolatility using (non-linear) GARCH models
-
P. H. Franses and D. V. Dijk, Forecasting stock marketvolatility using (non-linear) GARCH models, Int. J. Forecast. 15 (1996) 229-235.
-
(1996)
Int. J. Forecast.
, vol.15
, pp. 229-235
-
-
Franses, P.H.1
Dijk, D.V.2
-
25
-
-
85014483416
-
The applications of Markov prediction method in stock market
-
F. Hao, The applications of Markov prediction method in stock market, Friends Sci. 6 (2006) 78-81.
-
(2006)
Friends Sci.
, vol.6
, pp. 78-81
-
-
Hao, F.1
-
26
-
-
0035533512
-
Financial forecasting using support vector machines
-
L. J. Cao and F. E. H. Tay, Financial forecasting using support vector machines, Neural Comput. Appl. 10 (2001) 184-192.
-
(2001)
Neural Comput. Appl.
, vol.10
, pp. 184-192
-
-
Cao, L.J.1
Tay, F.E.H.2
-
27
-
-
0036131678
-
Predicting stock price using fuzzy grey prediction system
-
Y. F. Wang, Predicting stock price using fuzzy grey prediction system, Expert Syst. Appl. 22 (2002) 33-39.
-
(2002)
Expert Syst. Appl.
, vol.22
, pp. 33-39
-
-
Wang, Y.F.1
-
28
-
-
0010915241
-
Forecasting price increments using an artificial neural network
-
F. Castiglione, Forecasting price increments using an artificial neural network, Adv. Complex Syst. 4 (2001) 45-56.
-
(2001)
Adv. Complex Syst.
, vol.4
, pp. 45-56
-
-
Castiglione, F.1
-
29
-
-
0037404567
-
Application of neural networks to an emerging financial market: Forecasting and trading the Taiwan stock index
-
A. S. Chen, M. T. Leung and H. Daouk, Application of neural networks to an emerging financial market: Forecasting and trading the Taiwan stock index, Comput. Oper. Res. 30 (2003) 901-923.
-
(2003)
Comput. Oper. Res.
, vol.30
, pp. 901-923
-
-
Chen, A.S.1
Leung, M.T.2
Daouk, H.3
-
30
-
-
84978567506
-
Forecasting S&P 500 and gold futures prices: An application of neural networks
-
G. Grudnitsky and L. Osburn, Forecasting S&P 500 and gold futures prices: An application of neural networks, J. Futures Markets 13 (1993) 631-643.
-
(1993)
J. Futures Markets
, vol.13
, pp. 631-643
-
-
Grudnitsky, G.1
Osburn, L.2
-
31
-
-
38749107016
-
Predicting stock index increments by neural networks: The role of trading volume under different horizons
-
X. T. Zhu, H.Wang, L. Xu and H. Z. Li, Predicting stock index increments by neural networks: The role of trading volume under different horizons, Expert Syst. Appl. 34 (2008) 3043-3054.
-
(2008)
Expert Syst. Appl.
, vol.34
, pp. 3043-3054
-
-
Zhu, X.T.1
Wang, H.2
Xu, L.3
Li, H.Z.4
-
33
-
-
0026128928
-
Nonparametric regression and short-term freeway traffic forecasting
-
G. A. Davis and N. L. Nihan, Nonparametric regression and short-term freeway traffic forecasting, ASCE J. Transp. Eng. 117 (1991) 178-188.
-
(1991)
ASCE J. Transp. Eng.
, vol.117
, pp. 178-188
-
-
Davis, G.A.1
Nihan, N.L.2
-
34
-
-
58849105825
-
A hybrid method based on artificial immune system and k-NN algorithm for better prediction of protein cellular localization sites
-
I. Turkoglu and E. D. Kaymaz, A hybrid method based on artificial immune system and k-NN algorithm for better prediction of protein cellular localization sites, Appl. Soft Comput. 9 (2009) 497-502.
-
(2009)
Appl. Soft Comput.
, vol.9
, pp. 497-502
-
-
Turkoglu, I.1
Kaymaz, E.D.2
-
35
-
-
33744510576
-
Conditional resampling of hydrologic time series using multiple predictor variables: A k-nearest neighbour approach
-
R. Mehrotra and A. Sharma, Conditional resampling of hydrologic time series using multiple predictor variables: A k-nearest neighbour approach, Adv. Water Resour. 29 (2006) 987-999.
-
(2006)
Adv. Water Resour.
, vol.29
, pp. 987-999
-
-
Mehrotra, R.1
Sharma, A.2
-
36
-
-
53849129254
-
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
-
H. Li, J. Sun and B. L. Sun, Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors, Expert Syst. Appl. 36 (2009) 643-659.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 643-659
-
-
Li, H.1
Sun, J.2
Sun, B.L.3
-
37
-
-
38949129104
-
Weather analogue: A tool for real-time prediction of daily weather data realizations based on a modified k-nearest neighbor approach
-
M. Bannayan and G. Hoogenboom, Weather analogue: A tool for real-time prediction of daily weather data realizations based on a modified k-nearest neighbor approach, Environ. Model. Softw. 23 (2008) 703-713.
-
(2008)
Environ. Model. Softw.
, vol.23
, pp. 703-713
-
-
Bannayan, M.1
Hoogenboom, G.2
-
38
-
-
5444236478
-
The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis
-
N. E. Huang, Z. Shen and S. R. Long, The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis, Proc. R. Soc. Lond. 454 (1998) 903-995.
-
(1998)
Proc. R. Soc. Lond.
, vol.454
, pp. 903-995
-
-
Huang, N.E.1
Shen, Z.2
Long, S.R.3
-
39
-
-
39749128487
-
A new approach for crude oil price analysis based on Empirical Mode Decomposition
-
X. Zhang, K. K. Lai and S. Y. Wang, A new approach for crude oil price analysis based on Empirical Mode Decomposition, Resour. Energy Econ. 30 (2008) 905-918.
-
(2008)
Resour. Energy Econ.
, vol.30
, pp. 905-918
-
-
Zhang, X.1
Lai, K.K.2
Wang, S.Y.3
-
40
-
-
13844262669
-
Damage detection in gear systems using empirical mode decomposition
-
S. J. Loutridis, Damage detection in gear systems using empirical mode decomposition, Eng. Struct. 26 (2004) 1833-1841.
-
(2004)
Eng. Struct.
, vol.26
, pp. 1833-1841
-
-
Loutridis, S.J.1
-
41
-
-
40649113094
-
Empirical mode decomposition analysis of two different financial time series and their comparison
-
K. Guhathakurta, I. Mukherjee and A. R. Chowdhury, Empirical mode decomposition analysis of two different financial time series and their comparison, Chaos Solitons Fractals 37 (2008) 1214-1227.
-
(2008)
Chaos Solitons Fractals
, vol.37
, pp. 1214-1227
-
-
Guhathakurta, K.1
Mukherjee, I.2
Chowdhury, A.R.3
-
42
-
-
57849150854
-
Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition
-
J. R. Yeh, S. Z. Fan and J. S. Shieh, Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition, Med. Eng. Phys. 31 (2009) 92-100.
-
(2009)
Med. Eng. Phys.
, vol.31
, pp. 92-100
-
-
Yeh, J.R.1
Fan, S.Z.2
Shieh, J.S.3
-
43
-
-
84926662675
-
Nearest neighbor pattern classification
-
T. M. Cover and P. E. Hart, Nearest neighbor pattern classification, IEEE Trans. Inf. Theory 13 (1967) 21-27.
-
(1967)
IEEE Trans. Inf. Theory
, vol.13
, pp. 21-27
-
-
Cover, T.M.1
Hart, P.E.2
-
44
-
-
0032432719
-
Simulation of extreme precipitation in the rhine basin by nearest-neighbour resampling
-
T. Brandsma, and T. A. Buishand, Simulation of extreme precipitation in the rhine basin by nearest-neighbour resampling, Hydrol. Earth Syst. Sci. 2 (1998) 195-209.
-
(1998)
Hydrol. Earth Syst. Sci.
, vol.2
, pp. 195-209
-
-
Brandsma, T.1
Buishand, T.A.2
-
46
-
-
0036146898
-
A comparison of the accuracy of short term foreign exchange forecasting methods
-
M. Nigel, A comparison of the accuracy of short term foreign exchange forecasting methods, Int. J. Forecast. 18 (2002) 67-83.
-
(2002)
Int. J. Forecast.
, vol.18
, pp. 67-83
-
-
Nigel, M.1
-
47
-
-
0000560787
-
Exchange-rate forecasts with simultaneous nearest-neighbour methods: Evidence from the EMS
-
F. R. Fernando, S. R. Simón and A. F. Julián, Exchange-rate forecasts with simultaneous nearest-neighbour methods: Evidence from the EMS, Int. J. Forecast. 15 (1999) 383-392.
-
(1999)
Int. J. Forecast.
, vol.15
, pp. 383-392
-
-
Fernando, F.R.1
Simón, S.R.2
Julián, A.F.3
|