Welcome, visitor! [ Login

 

R. P. Pargas and M. J. Harrold, “Test-Data Generation Using Genetic Algorithms,” Journal of Software Testing, Verification and Reliability, Vol. 9, No. 4, 1999, pp. 263-282.

  • Listed: 2 June 2026 4 h 15 min

Description

R. P. Pargas and M. J. Harrold, “Test-Data Generation Using Genetic Algorithms,” Journal of Software Testing, Verification and Reliability, Vol. 9, No. 4, 1999, pp. 263-282.

None

No Tags

5 total views, 5 today

  

Listing ID: N/A

Report problem

Processing your request, Please wait....

Sponsored Links

 

Barber, P.A., Darby, D.G., Desmond, P.M., Yang, Q., Gerraty, R.P., Jolley, ...

Barber, P.A., Darby, D.G., Desmond, P.M., Yang, Q., Gerraty, R.P., Jolley, D., Donnan, G.A., Tress, B.M. and Davis, S.M. (1998) Prediction of stroke outcome with […]

No views yet

 

Übeyli, E.D. (2009) Combined neural network model employing wavelet coeffie...

Übeyli, E.D. (2009) Combined neural network model employing wavelet coeffients for EEG signals classifi- cation. Digital Signal Processing, 19(2), 297-308. **Übeyli, E.D. (2009) Combined neural […]

No views yet

 

Sadati, N., Mohseni, H.R. and Mamgshoudi, A. (2006) Epileptic seizure detec...

Sadati, N., Mohseni, H.R. and Mamgshoudi, A. (2006) Epileptic seizure detection using neural fuzzy networks. Proceedings of the 2006 IEEE International Conference on Fuzzy Systems, […]

No views yet

 

Molinaro, A., Simon, R. and Pfeiffer, R. (2005) Predi- ction error estimati...

Molinaro, A., Simon, R. and Pfeiffer, R. (2005) Predi- ction error estimation: A comparison of resampling methods. Bioinformatics, 21(15), 3301-3307. Okay, let’s start by understanding […]

2 total views, 2 today

 

Lake, D.E., Richman, J.S., Griffin, M.P. and Moorman, J.R. (2002) Sample en...

Lake, D.E., Richman, J.S., Griffin, M.P. and Moorman, J.R. (2002) Sample entropy analysis of neonatal heart rate variability. American Journal of Physiology— Regulatory, Integrative and […]

2 total views, 2 today

 

Hagan, M.T. and Menhaj, M.B. (1994) Training feedforward networks with the ...

Hagan, M.T. and Menhaj, M.B. (1994) Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks, 5(6), 989-993. None

1 total views, 1 today

 

Kim, J., Shin, H., Lee, Y. and Lee, M. (2007) Algorithms for classifying ar...

Kim, J., Shin, H., Lee, Y. and Lee, M. (2007) Algorithms for classifying arrhythmia using extreme learning machine and principle component analysis, Proceedings of the […]

3 total views, 3 today

 

Liang, N.Y., Saratchandran, P., Huang, G.B. and Sundararajan, N. (2006) Cla...

Liang, N.Y., Saratchandran, P., Huang, G.B. and Sundararajan, N. (2006) Classification of mental tasks from EEG sginals using extreme learning machine. International Journal of Neural […]

2 total views, 2 today

 

R. Zhang, R., Huang, G.B., Sundararajan, N. and Saratch- andran, P. (2007) ...

R. Zhang, R., Huang, G.B., Sundararajan, N. and Saratch- andran, P. (2007) Multicategory classifcation using an extreme learning machine for microarray gene expression cancer diagnosis. […]

2 total views, 2 today

 

Wang D. and Huang, G.B. (2005) Protein sequence classification using extrem...

Wang D. and Huang, G.B. (2005) Protein sequence classification using extreme learning machine. Procee- dings of the 2005 IEEE International Joint Conference on Neural Networks, […]

3 total views, 3 today

 

Barber, P.A., Darby, D.G., Desmond, P.M., Yang, Q., Gerraty, R.P., Jolley, ...

Barber, P.A., Darby, D.G., Desmond, P.M., Yang, Q., Gerraty, R.P., Jolley, D., Donnan, G.A., Tress, B.M. and Davis, S.M. (1998) Prediction of stroke outcome with […]

No views yet

 

Übeyli, E.D. (2009) Combined neural network model employing wavelet coeffie...

Übeyli, E.D. (2009) Combined neural network model employing wavelet coeffients for EEG signals classifi- cation. Digital Signal Processing, 19(2), 297-308. **Übeyli, E.D. (2009) Combined neural […]

No views yet

 

Sadati, N., Mohseni, H.R. and Mamgshoudi, A. (2006) Epileptic seizure detec...

Sadati, N., Mohseni, H.R. and Mamgshoudi, A. (2006) Epileptic seizure detection using neural fuzzy networks. Proceedings of the 2006 IEEE International Conference on Fuzzy Systems, […]

No views yet

 

Molinaro, A., Simon, R. and Pfeiffer, R. (2005) Predi- ction error estimati...

Molinaro, A., Simon, R. and Pfeiffer, R. (2005) Predi- ction error estimation: A comparison of resampling methods. Bioinformatics, 21(15), 3301-3307. Okay, let’s start by understanding […]

2 total views, 2 today

 

Lake, D.E., Richman, J.S., Griffin, M.P. and Moorman, J.R. (2002) Sample en...

Lake, D.E., Richman, J.S., Griffin, M.P. and Moorman, J.R. (2002) Sample entropy analysis of neonatal heart rate variability. American Journal of Physiology— Regulatory, Integrative and […]

2 total views, 2 today

 

Hagan, M.T. and Menhaj, M.B. (1994) Training feedforward networks with the ...

Hagan, M.T. and Menhaj, M.B. (1994) Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks, 5(6), 989-993. None

1 total views, 1 today

 

Kim, J., Shin, H., Lee, Y. and Lee, M. (2007) Algorithms for classifying ar...

Kim, J., Shin, H., Lee, Y. and Lee, M. (2007) Algorithms for classifying arrhythmia using extreme learning machine and principle component analysis, Proceedings of the […]

3 total views, 3 today

 

Liang, N.Y., Saratchandran, P., Huang, G.B. and Sundararajan, N. (2006) Cla...

Liang, N.Y., Saratchandran, P., Huang, G.B. and Sundararajan, N. (2006) Classification of mental tasks from EEG sginals using extreme learning machine. International Journal of Neural […]

2 total views, 2 today

 

R. Zhang, R., Huang, G.B., Sundararajan, N. and Saratch- andran, P. (2007) ...

R. Zhang, R., Huang, G.B., Sundararajan, N. and Saratch- andran, P. (2007) Multicategory classifcation using an extreme learning machine for microarray gene expression cancer diagnosis. […]

2 total views, 2 today

 

Wang D. and Huang, G.B. (2005) Protein sequence classification using extrem...

Wang D. and Huang, G.B. (2005) Protein sequence classification using extreme learning machine. Procee- dings of the 2005 IEEE International Joint Conference on Neural Networks, […]

3 total views, 3 today