-
3
-
-
0035881008
-
On the neural network approach in software reliability modeling
-
K. Y. Cai, L. Cai, W. D. Wang, Z. Y. Yu and D. Zhang, On the neural network approach in software reliability modeling, J. Systems and Software 58(1) (2001) 47-62.
-
(2001)
J. Systems and Software
, vol.58
, Issue.1
, pp. 47-62
-
-
Cai, K.Y.1
Cai, L.2
Wang, W.D.3
Yu, Z.Y.4
Zhang, D.5
-
4
-
-
0026896343
-
Prediction of software reliability using connectionist models
-
N. Karunanithi, D. Whitley and Y. K. Malaiya, Prediction of software reliability using connectionist models, IEEE Trans. Software Eng. 18(7) (1992) 563-574.
-
(1992)
IEEE Trans. Software Eng.
, vol.18
, Issue.7
, pp. 563-574
-
-
Karunanithi, N.1
Whitley, D.2
Malaiya, Y.K.3
-
5
-
-
84947662956
-
Using neural networks in reliability prediction
-
N. Karunanithi, D. Whitley and Y. K. Malaiya, Using neural networks in reliability prediction, IEEE Software 9(4) (1992) 53-59.
-
(1992)
IEEE Software
, vol.9
, Issue.4
, pp. 53-59
-
-
Karunanithi, N.1
Whitley, D.2
Malaiya, Y.K.3
-
6
-
-
4544223754
-
Neural network modeling for software reliability prediction from failure time data
-
J. Y. Park, S. U. Lee and J. H. Park, Neural network modeling for software reliability prediction from failure time data, J. Electrical Engineering and Information Science 4(4) (1999) 533-538.
-
(1999)
J. Electrical Engineering and Information Science
, vol.4
, Issue.4
, pp. 533-538
-
-
Park, J.Y.1
Lee, S.U.2
Park, J.H.3
-
7
-
-
0036411325
-
A fuzzy software reliability model with multiple-error introduction and removal
-
L. V. Utkin, S. V. Gurov and M. I. Shubinsky, A fuzzy software reliability model with multiple-error introduction and removal, Int. J. Reliability, Quality and Safety Engineering 9(3) (2002) 215-227.
-
(2002)
Int. J. Reliability, Quality and Safety Engineering
, vol.9
, Issue.3
, pp. 215-227
-
-
Utkin, L.V.1
Gurov, S.V.2
Shubinsky, M.I.3
-
8
-
-
0037276988
-
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
-
F. H. F. Leung, H. K. Lam, S. H. Ling and P. K. S. Tam, Tuning of the structure and parameters of a neural network using an improved genetic algorithm, IEEE Trans. Neural Networks 14(1) (2003) 79-88.
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.1
, pp. 79-88
-
-
Leung, F.H.F.1
Lam, H.K.2
Ling, S.H.3
Tam, P.K.S.4
-
11
-
-
0034428791
-
Artificial neural network for software reliability assessment
-
Kuala Lumpur, Malaysia
-
W. A. Adnan, M. Yaakob, R. Anas and M. R. Tamjis, Artificial neural network for software reliability assessment, in 2000 TENCON Proc. Intelligent Systems and Technologies for the New Millennium (Kuala Lumpur, Malaysia, 2000).
-
(2000)
2000 TENCON Proc. Intelligent Systems and Technologies for the New Millennium
-
-
Adnan, W.A.1
Yaakob, M.2
Anas, R.3
Tamjis, M.R.4
-
12
-
-
84954107823
-
Prediction of software reliability: A comparison between regression and neural network non-parametric models
-
Beirut, Lebanon
-
S. H. Aljahdali, A. Sheta and D. Rine, Prediction of software reliability: A comparison between regression and neural network non-parametric models, in Proc. ACS/IEEE Int. Conf. Computer Systems and Applications (Beirut, Lebanon, 2001).
-
(2001)
Proc. ACS/IEEE Int. Conf. Computer Systems and Applications
-
-
Aljahdali, S.H.1
Sheta, A.2
Rine, D.3
-
14
-
-
0242411523
-
A study of the connectionist models for software reliability prediction
-
S. L. Ho, M. Xie and T. N. Goh, A study of the connectionist models for software reliability prediction, Computers and Mathematics with Applications 46(7) (2003) 1037-1045.
-
(2003)
Computers and Mathematics with Applications
, vol.46
, Issue.7
, pp. 1037-1045
-
-
Ho, S.L.1
Xie, M.2
Goh, T.N.3
-
15
-
-
0242706561
-
Comparison of software-reliability-growth predictions: Neural networks vs parametric-recalibration
-
R. Sitte, Comparison of software-reliability-growth predictions: Neural networks vs parametric-recalibration, IEEE Trans. Reliability 48(3) (1999) 285-291.
-
(1999)
IEEE Trans. Reliability
, vol.48
, Issue.3
, pp. 285-291
-
-
Sitte, R.1
-
16
-
-
16544369055
-
Software reliability prediction using recurrent neural network with Bayesian regularization
-
L. Tian and A. Noore, Software reliability prediction using recurrent neural network with Bayesian regularization, Int. J. Neural Systems 14(3) (2004) 165-174.
-
(2004)
Int. J. Neural Systems
, vol.14
, Issue.3
, pp. 165-174
-
-
Tian, L.1
Noore, A.2
-
17
-
-
4544295244
-
Evolutionary neural network modeling for software cumulative failure time prediction
-
L. Tian and A. Noore, Evolutionary neural network modeling for software cumulative failure time prediction, Reliability Engineering and System Safety 87(1) (2005) 45-51.
-
(2005)
Reliability Engineering and System Safety
, vol.87
, Issue.1
, pp. 45-51
-
-
Tian, L.1
Noore, A.2
-
18
-
-
84887252594
-
Support vector method for function approximation, regression estimation and signal processing
-
Denver, CO
-
V. Vapnik, S. E. Golowich and A. Smola, Support vector method for function approximation, regression estimation and signal processing, Advances in Neural Information Processing Systems 9, in Proc. 1996 Conference (Denver, CO, 1996).
-
(1996)
Advances in Neural Information Processing Systems 9, in Proc. 1996 Conference
-
-
Vapnik, V.1
Golowich, S.E.2
Smola, A.3
-
19
-
-
0742268991
-
Support vector machine with adaptive parameters in financial time series forecasting
-
L. J. Cao and F. E. H. Tay, Support vector machine with adaptive parameters in financial time series forecasting, IEEE Trans. Neural Networks 14(6) (2003) 1506-1518.
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.6
, pp. 1506-1518
-
-
Cao, L.J.1
Tay, F.E.H.2
-
20
-
-
0041523974
-
Combining support vector machine learning with the discrete cosine transform in image compression
-
J. Robinson and V. Kecman, Combining support vector machine learning with the discrete cosine transform in image compression, IEEE Trans. Neural Networks 14(4) (2003) 950-958.
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.4
, pp. 950-958
-
-
Robinson, J.1
Kecman, V.2
-
21
-
-
0032594959
-
An overview of statistical learning theory
-
V. N. Vapnik, An overview of statistical learning theory, IEEE Trans. Neural Networks 10(5) (1999) 988-999.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.5
, pp. 988-999
-
-
Vapnik, V.N.1
-
22
-
-
0001023715
-
Application of support vector machines in financial time series forecasting
-
F. E. H. Tay and L. J. Cao, Application of support vector machines in financial time series forecasting, Omega 29(4) (2001) 309-317.
-
(2001)
Omega
, vol.29
, Issue.4
, pp. 309-317
-
-
Tay, F.E.H.1
Cao, L.J.2
-
23
-
-
0242351905
-
Financial time series forecasting using support vector machines
-
K. J. Kim, Financial time series forecasting using support vector machines, Neurocomputing 55(1-2) (2003) 307-319.
-
(2003)
Neurocomputing
, vol.55
, Issue.1-2
, pp. 307-319
-
-
Kim, K.J.1
-
24
-
-
0003991806
-
-
Chap. 10.8, Examples of SV Machines for Pattern Recognition (John Wiley & Sons, New York)
-
V. N. Vapnik, Statistical Learning Theory, Chap. 10.8, Examples of SV Machines for Pattern Recognition (John Wiley & Sons, New York, 1998).
-
(1998)
Statistical Learning Theory
-
-
Vapnik, V.N.1
-
25
-
-
0004200657
-
-
Chap. 8, Software Reliability Models with Environmental Factors (Springer)
-
H. Pham, Software Reliability, Chap. 8, Software Reliability Models with Environmental Factors (Springer, 2000).
-
(2000)
Software Reliability
-
-
Pham, H.1
-
26
-
-
0038238725
-
Software reliability and cost models: Perspectives, comparison, and practice
-
H. Pham. Software reliability and cost models: Perspectives, comparison, and practice, European Journal of Operational Research 149(3) (2003) 475-489.
-
(2003)
European Journal of Operational Research
, vol.149
, Issue.3
, pp. 475-489
-
-
Pham, H.1
-
27
-
-
0035957807
-
Exploratory analysis of environmental factors for enhancing the software reliability assessment
-
X. Zhang, M.-Y. Shin and H. Pham, Exploratory analysis of environmental factors for enhancing the software reliability assessment, J. Systems and Software 57(1) (2001) 73-78.
-
(2001)
J. Systems and Software
, vol.57
, Issue.1
, pp. 73-78
-
-
Zhang, X.1
Shin, M.-Y.2
Pham, H.3
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