Grammar-guided neural architecture evolution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4527 LNCS, Issue PART 1, 2007, Pages 437-446

  Couchet, Jorge ^a   Manrique, Daniel ^a   Porras, Luis ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Ambiguity; Context free grammar; Feed forward neural architecture; Grammar guided genetic programming; Semantic redundancy

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; FEEDFORWARD NEURAL NETWORKS; GENETIC PROGRAMMING; OPTIMIZATION; REDUNDANCY; SEMANTICS;

BINARY STRINGS; FEED-FORWARD NEURAL ARCHITECTURE; GRAMMAR-GUIDED GENETIC PROGRAMMING; SEMANTIC REDUNDANCY;

CONTEXT FREE GRAMMARS;

EID: 38149131290     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73053-8_44     Document Type: Conference Paper

References (14)

1. Raidi, G.: Evolutionary computation: An overview and recent trends. OGAI Journal 2 (2005) 2-7
2. Whigham, P.: Grammatically-based genetic programming. In: Proc. of the Workshop on Genetic Programming: From Theory to Real-World Apps. (1995) 33-41
3. Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, New Jersey (1999) 2nd ed.
4. Koza, J., Rice, J.: Genetic generation of both the weight and architecture for a neural network. In: Proceedings of the International Joint Conference on Neural Networks, Vol. II. (1991) 397-404
5. Manrique, D., Rios, J., Rodriguez-Paton, A.: Evolutionary system for automatically constructing and adapting radial basis function networks. Neurocomputing 69 (2006) 2268-2283
6. Hussain, T.: Attribute grammar encoding based upon a generic neural markup language: Facilitating the design of theoretical neural network models. In: Proc. of the International Joint Conference on Neural Networks , Vol. I. (2004) 25-29
7. Yong, C., Stanley, K., Miikkulainen, R., Karpov, I.: Incorporating advice into neuroevolution of adaptive agents. In: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference. (2006)
8. Stanley, K., Bryant, B., Miikkulainen, R.: Real-time neuroevolution in the NERO video game. IEEE Transactions on Evolutionary Computation 9 (2005) 653-668
9. Barrios, D., Carrascal, A., Manrique, D., Ros, J.: Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. Neural Computing and Applications 12 (2003) 49-60
10. Funahashi, K.: On the approximate realization of continuous mappings by neural networks. Neural Networks 2 (1989) 183-192
11. Manrique, D., Marquez, F., Rios, J., Rodrguez-Paton, A.: Grammar based crossover operator in genetic programming. In Mira, J., Alvarez, J., eds.: Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Lee. Notes in Computer Science. Volume 3562., Springer Verlag, Berlin Heidelberg New York (2005) 252-261
12. Hoai, N., Shan, Y., McKay, R., D, E.: Is ambiguity useful or problematic for grammar guided genetic programming? a case study. 4th Asia-Pacific Conference on Simulated Evolution and Learning (2002) 449-454
13. Woodward, J., Neil, J.: No free lunch, program induction and combinatorial problems. In: Proceedings of Genetic Programming. (2003) 475-484
14. Woodward, J.: GA or GP? that is not the question. In: Proceedings of the Congress on Evolutionary Computation. (2003) 1056-1063