Biomedical Engineering Reference
In-Depth Information
ceedings of the Tenth ACM SIGKDD international
Conference on Knowledge Discovery and Data
Mining. New York, ACM Press, (pp. 788-793).
Koza, J.R. (1992). Genetic Programming: On the
Programming of Computers by Means of Natural
Selection . The MIT Press. Cambridge, MA.
DeJong, A.K. & Spears, W.M. (1993). On the State
of Evolutionary Computation. Proceedings of the
International Conference on Genetic Algorithms ,
(pp. 618-623).
Krzanowski. W.J. (1990). Principles of multi-
variate analysis: a user's perspective. Oxford,
Clarendon Pres.
Matlab: Genetic Algorithm and Direct Search
Toolbox 2. Available at: www.mathworks.com/
academia/student_version/r2007a_ products/
gads.pdf
Dreyfus, G. (2005). Neural Networks: Methodol-
ogy and Applications . Springer.
Fogel, D.B. (2006). Evolutionary Computation:
Toward a New Philosophy of Machine Intelligence
3 rd Edition . Piscataway, NJ, IEEE Press.
Matlab: Neural Network Toolbox. Available at:
www.mathworks.com/products/neuralnet/
Fogel, L.J., Owens, A.J., & Walsh, M.J. (1966).
Artificial Intelligence Through Simulated Evolu-
tion . Wiley Publishing, New York.
Pavan, M., Consomni, V., & Todeschini, R.
(2003). Development of Order Ranking Models
by Genetic Algorithm Variable Subset Selection
(GA-VSS). Proceedings of Conferentia Chemo-
metrica . (pp. 27-29).
Fuleki, T., Pelayo, E., & Palabay, R.B. (1995).
Carboxylic acid composition of varietal juices
produced from fresh and stored apples. Journal
of Agriculture and Food Chemistry . vol. 43, nº
3, (pp. 598-607).
Rabuñal, J.R., Dorado, J., Gestal, M., & Pedreira,
N. (2005). Diversity and Multimodal Search with
a Hybrid Two-Population GA: An Application
to ANN Development. Computacional Intel-
ligence and Bioinspired Systems. (pp. 382-390).
Springer-Verlag.
Gestal, M., Cancela, A., Gómez-Carracedo, M.P.,
Andrade, J.M. (2006). Several Approaches to
Variable Selection by means of Genetic Algo-
rithms. Artificial Neural Networks in Real-Life
Applications . (pp. 141-164). Hershey, Idea Group
Publishing.
Roboards, K. & Antolovich, M. (1995). Methods
for assessing the authenticity of orange juice, a
review. The Analyst , vol. 120, (pp. 1-28).
Goldberg, D.E. (2002). The Design of Innovation:
Lessons from and for Competent Genetic Algo-
rithms. Reading, MA, Addison-Wesley.
Skapura, D.M. (1996). Building Neural Networks.
New York, ACM Press (Addison-Wesley Publish-
ing Company).
Guyon, I., & Elisseeff, A. (2003). An Introduction
to Variable and Feature. JMLR Special Issue on
Variable and Feature Selection (Kernel Machines
Section) .
Tomassini, M. (1995). A Survey of Genetic Algo-
rithms. Annual Reviews of Computational Physics
Vol. III, World Scientific, (pp. 87-117).
Yang J., & Honavar, V. (1998). Feature subset se-
lection using a genetic algorithm. IEEE Intelligent
Systems (Special Issue on Feature Transformation
and Subset Selection) , 13(2), (pp. 44-49).
Haykin, S. (1999). Neural Networks: A Compre-
hensive Foundation , Prentice Hall.
Search WWH ::




Custom Search