S. Yamany, K. Khiani, and A. Farag, "Application of neural networks and genetic algorithms in the classification of endothelial cells," Pattern Recognition Letters, vol. 18, no. 11-13, pp. 1205--1210, 1997. Home/Search Document Details and Download
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Pareto Evolutionary Neural Networks - Fieldsend, Singh (2003) (Correct)
.... new framework proposed here is designed to use of those evolutionary computation (EC) methods which have previously been applied to uni objective NN design, genetic algorithms (GAs) evolution strategies (ES) and particle swarm optimisation (PSO) GAs have previously be used for feature selection [8, 53] and topography selection [2, 5, 29, 35, 36, 38, 52] and ESs have been used for weight optimisation [21, 42, 45, 55] and adaptive topography selection [15, 37, 57] The recent EC technique of PSO [27] has also proved popular as a uni objective NN optimiser [10, 12, 13, 26, 48] 2 Multi objective ....
S.M. Yamany, K.J. Khiani, and A.A. Farag. Application of neural networks and genetic algorithms in the classification of endothelial cells. Pattern Recognition Letters, 18(11-13):1205-1210, 1997.
An Indexed Bibliography of Genetic Algorithms and Neural.. - Jarmo T. Alander (2001) (Correct)
....Anal. Theory Methods Appl. UK) 484] Nucl. Instrum. Methods Phys. Res. A, Accel. Spectrom. Detect. Assoc. Equip. Netherlands) 478] Nuclear Instruments Methods in Physics Research A, 555] Opt. Mem. Neural Netw. USA) 754] Parallel Computing, 954] Pattern Recognition Letters, [174, 204, 339, 538, 547] Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top. USA) 492] Physica D, 51] Proc. CSEE (China) 560] Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, 473] Quantitative Structure Activity Relationships, 454] ....
....[334] Ersoy, O. K. 71, 484] Eshelman, Larry J. 907, 908, 957] Esparcia Alcazar, Anna J. 494] Esparcia Alc azar, Anna I. 443] Estevez, Pablo A. 34, 108, 168] Eyvazova, Z. E. 222] Fadda, A. 169, 335] Fagg, Andrew H. 804] Falcon, J. F. 674] Fang, Jian, 512] Farag, A. A. [547] Fariselli, Piero, 224, 558] Fekadu, Adhanom A. 761] Feldman, David S. 675] Ferguson, J. J. 676] Filelis, A. 871] Fleischhauer, T. 407] Fleming, Peter J. 589] Floreano, Dario, 677] Floyd, C. E. 160] Fogarty, Terence C. 241, 378, 436, 471, 474, 678] Fogel, David B. ....
[Article contains additional citation context not shown here]
S. M. Yamany, K. J. Khiani, and A. A. Farag. Application of neural networks and genetic algorithms in the classification of endothelian cells. Pattern Recognition Letters, 18(11-13):1205--1210, November 1997. y(toc) ga97aSMYamany.
An Indexed Bibliography of Genetic Algorithms in Signal and.. - Jarmo T. Alander (1999) (Correct)
....[649] Optics Letters, 300, 401, 621] Optimization (UK) 917] ORSA Journal on Computing, 40, 128] Pattern Recognit. Image Anal. Russia) 249, 140] Pattern Recognition, 143, 144, 535, 541, 278, 576, 344, 382, 396, 592, 413, 596, 111, 435, 599, 603] Pattern Recognition Letters, [167, 50, 57, 761, 58, 221, 67, 784, 543, 241, 244, 69, 252, 364, 402, 876, 406, 595, 601, 452, 496, 505] Power Syst. Technol. China) 686] Proceedings of IEE Vision, Image Signal Processing, 139] R. F. Des. USA) 858] Real Time Systems , 849] Res. Rep. Kogakuin Univ. Japan) 245] Seimitsu Kogaku Kaishi, 1111] Sens. Actuators A. Phys. Switzerland) 902] Signal Processing, 390, ....
....Anna I. 766, 835, 939] Etter, D. M. 910, 699, 700] Everett, J. E. 72] Fadda, A. 973] Faez, Karim, 103] Fagarasan, Florin, 974] Fahrner, W. R. 859] Fairchild, Scott R. 145, 817] Fan, Kuo Chin, 573, 368, 592] Fanelli, A. M. 142, 1035] Fang, Xue, 378, 380] Farag, A. A. [595] Farag, A. 1049] Farrell, Craig A. 1070] Farrell, K. W. 1119] Farry, Kristin A. 802] Faulkner, Graeme, 199] Feipeng, Li, 943, 512] Fernandez, Jaime J. 752, 801, 802] Ferreiro, M. S. 141] Ferri, F. 911] Figueiras Vidal, A. R. 811] Filippidis, Arthur, 442] Finnerty, S. 33] ....
[Article contains additional citation context not shown here]
S. M. Yamany, K. J. Khiani, and A. A. Farag. Application of neural networks and genetic algorithms in the classification of endothelian cells. Pattern Recognition Letters, 18(11-13):1205--1210, November 1997. ytoc ga97aSMYamany.
An Indexed Bibliography of Genetic Algorithms in Optics and Image .. - Alander (2000) (2 citations) (Correct)
....[311] Optics Communications, 477] Optics Letters, 484, 489, 498, 325, 530] Pattern Recognit. Image Anal. Russia) 153, 14] Pattern Recognition, 20, 540, 541, 23, 24, 109, 557, 186, 584, 258, 299, 318, 593, 340, 595, 368, 600, 388, 389, 390, 405] Pattern Recognition Letters, [51, 86, 116, 124, 559, 146, 149, 158, 280, 326, 333, 594, 606, 398, 448, 458] Pattern Recognition. Lett. Netherlands) 598] Proc. Inst. Mech. Eng. I, J. Syst. Control Eng. UK) 332] Proceedings of IEE Vision, Image Signal Processing, 12] Res. Rep. Kogakuin Univ. Japan) 150] Scienti c Computing World, 473] Seimitsu Kogaku Kaishi, 708] Signal Process Image ....
....C. J. 193] Engelbrecht, A. P. 710] Englander, Arnold C. 610] Engst, Norbert, 456] Erdogan, A. 194] Ersoy, C. 16] Ersoy, Okan K. 508] Esme, B. 172] Fairchild, Scott R. 26] Fan, Kuo Chin, 249, 284, 593] Fanelli, A. M. 21, 655] Fang, Xue, 295, 297] Farag, A. A. [594] Farag, A. 666] Farag, Aly A. 389] Farrell, Craig A. 682] Farrell, K. W. 720] Faruque, Abdullah, 605] Faulkner, Graeme, 468] Feipeng, Li, 466] Fellah, A. 301] Ferreiro, M. S. 512] Filippidis, Arthur, 379] Fitzpatrick, J. Michael, 413, 418, 419] Flockton, Stuart J. ....
[Article contains additional citation context not shown here]
S. M. Yamany, K. J. Khiani, and A. A. Farag. Application of neural networks and genetic algorithms in the classication of endothelian cells. Pattern Recognition Letters, 18(11-13):1205-1210, November 1997. ytoc ga97aSMYamany.
Knowledge Extracted From Trained Neural Networks - Yao (1999) (66 citations) (Correct)
....a search problem. Given a large set of potential inputs, we want to find a near optimal subset which has the fewest number of features but the performance of the ANN using this subset is no worse than that of the ANN using the whole input set. EAs have been used to perform such search effectively [276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287]. Very good results, i.e. better performance with fewer inputs, have been reported from these studies. In the evolution of input features, each individual in the population represents a subset of all possible inputs. This can be implemented using a binary chromosome whose length is the same as ....
S. M. Yamany, K. J. Khiani, and A. A. Farag, "Applications of neural networks and genetic algorithms in the classification of enothelial cells," Pattern Recognition Letters, vol. 18, no. 11-13, pp. 1205--1210, 1997.
Pareto Evolutionary Neural Networks - Jonathan Fieldsend Member (Correct)
No context found.
S. Yamany, K. Khiani, and A. Farag, "Application of neural networks and genetic algorithms in the classification of endothelial cells," Pattern Recognition Letters, vol. 18, no. 11-13, pp. 1205--1210, 1997.
Evolving Artificial Neural Networks - Yao (1999) (66 citations) (Correct)
No context found.
S. M. Yamany, K. J. Khiani, and A. A. Farag, "Applications of neural networks and genetic algorithms in the classification of enothelial cells," Pattern Recognition Lett., vol. 18, nos. 11--13, pp. 1205--1210, 1997.
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