From post

Design of artificial neural networks using genetic algorithms: review and prospect

, и . Cognitive Science Research Paper, 319. School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, (30 April 1994)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Generalisation and Artificial Ant Problem. (1997)A very early draft.Simple Genetic Programming for Supervised Learning Problems. Proceedings of Fifth Turkish Syposium on Artificial Intelligence and Neural Networks, Bogazici Uni. Press, (1996)Promoting Generalization of Learned Behaviours in Genetic Programming. Fifth International Conference on Parallel Problem Solving from Nature, том 1498 из LNCS, стр. 491--500. Amsterdam, Springer-Verlag, (27-30 September 1998)Genetic Programming and Incremental Aproaches to Solve Supervised Learning Problems. ICML'96, Evolutionary computing and Machine Learning Workshop, (1996)Evolving a Generalised Behavior: Artificial Ant Problem Revisited. Seventh Annual Conference on Evolutionary Programming, том 1447 из LNCS, стр. 799--808. Mission Valley Marriott, San Diego, California, USA, Springer-Verlag, (25-27 March 1998)Evolutionary and Incremental Methods to Solve Hard Learning Problems. Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, стр. 101--106. Stanford University, CA, USA, Stanford Bookstore, (28--31 July 1996)A Method of Promoting Generalisation in Genetic Programming. Genetic Programming 1998: Proceedings of the Third Annual Conference, стр. 192. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)Evolution of learning rules for supervised tasks II: hard learning problems. Cognitive Science Research Paper, 395. School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, (10 November 1995)Evolution of learning rules for supervised tasks I: simple learning problems. Cognitive Science Research Paper, 394. School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, Sussex, UK, (10 November 1995)Constructive Induction using Genetic Programming, и . ICML'96, Evolutionary computing and Machine Learning Workshop, (1996)