Evolving Neural Networks through Augmenting Topologies, Evolving neural networks through augmenting topologies, pp.99-127, 2002. ,
DOI : 10.1016/S0096-3003(97)10005-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.4591
Novel evolutionary algorithms for supervised classification problems: an experimental study, Evolutionary Intelligence, vol.8, issue.2, pp.1-14, 2011. ,
DOI : 10.1007/s12065-010-0047-7
Recent Advances in Evolutionary Computation, Journal of Computer Science and Technology, vol.44, issue.5, pp.1-18, 2006. ,
DOI : 10.1007/s11390-006-0001-4
A new evolutionary system for evolving artificial neural networks, IEEE Transactions on Neural Networks, vol.8, issue.3, pp.694-713, 1997. ,
DOI : 10.1109/72.572107
Neuroevolution: from architectures to learning, Evolutionary Intelligence, vol.87, issue.9, pp.47-62, 2008. ,
DOI : 10.1007/s12065-007-0002-4
Genetic algorithms and permutation problems: a comparison of recombination operators for neural net structure specification, [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks, pp.108-122, 1992. ,
DOI : 10.1109/COGANN.1992.273944
Genetic set recombination and its application to neural network topology optimisation, Neural Computing & Applications, vol.3, issue.4, pp.67-90, 1993. ,
DOI : 10.1007/BF01411376
COVNET: a cooperative coevolutionary model for evolving artificial neural networks, IEEE Transactions on Neural Networks, vol.14, issue.3, pp.575-596, 2003. ,
DOI : 10.1109/TNN.2003.810618
A novel similarity-based crossover for artificial neural network evolution, Proceedings of the XI International Conference on Parallel Problem Solving from Nature, PPSN'10 -Lecture Notes in Computer Science, pp.344-353, 2010. ,
SimBa-2: Improving a novel similarity-based crossover for the evolution of artificial neural networks, 2011 11th International Conference on Intelligent Systems Design and Applications, pp.374-379, 2011. ,
DOI : 10.1109/ISDA.2011.6121684
A new genetic approach for neural network design Engineering Evolutionary Intelligent Systems, Studies in Computational Intelligence, pp.289-323, 2008. ,
<title>Evolutionary program for the identification of dynamical systems</title>, Applications and Science of Artificial Neural Networks III, pp.409-417, 1997. ,
DOI : 10.1117/12.271503
Verifying Anaconda's expert rating by competing against Chinook: experiments in co-evolving a neural checkers player, Neurocomputing, vol.42, issue.1-4, pp.69-86, 2002. ,
DOI : 10.1016/S0925-2312(01)00594-X
Convergence and crossover: the permutation problem revisited, Cognitive Science Research Papers CSRP, vol.596, 2008. ,
Combinations of genetic algorithms and neural networks: a survey of the state of the art, [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks, pp.1-37, 1992. ,
DOI : 10.1109/COGANN.1992.273950
Evolving artificial neural networks, Proceedings of the IEEE, pp.1423-1447 ,
Genetic weight otpimization of a feedforward neural network controller, Artificial Neural Networks and Genetic Algorithms, pp.658-663, 1993. ,
Active guidance for a fitness rocket through neuroevolution, Proceedings of the Genetic and Evolutionary Computation Conference, pp.2084-2095, 2003. ,
On the significance of the permutation problem in neuroevolution, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, pp.787-794, 2009. ,
DOI : 10.1145/1569901.1570010
Graph Matching Recombination for Evolving Neural Networks, Proc. of Int. Symposium on Neural Networks, pp.562-568, 2007. ,
DOI : 10.1007/978-3-540-72393-6_67
Representation and Evolution of Neural Networks, pp.643-649, 1993. ,
DOI : 10.1007/978-3-7091-7533-0_93
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization, Neural Networks, vol.19, issue.4, pp.514-528, 2006. ,
DOI : 10.1016/j.neunet.2005.08.014
Evolving Neural Networks for Static Single-Position Automated Trading, Journal of Artificial Evolution and Applications, vol.100, issue.4, pp.1-17, 2008. ,
DOI : 10.1257/0002828043052277
Learning algorithms in neural networks, 1990. ,
An Introduction to Neural Networks, 1997. ,
DOI : 10.4324/9780203451519
Van der Smagt, An introduction to neural networks, URL ftp, 1996. ,
Neural networks for classification: a survey, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.30, issue.4, pp.451-462, 2000. ,
DOI : 10.1109/5326.897072
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems, Neural Computing and Applications, vol.179, issue.1, pp.1165-1195, 2010. ,
DOI : 10.1007/s00521-010-0362-z
Evolutionary Artificial Neural Network Design and Training for wood veneer classification, Engineering Applications of Artificial Intelligence, vol.22, issue.4-5, pp.732-741, 2009. ,
DOI : 10.1016/j.engappai.2009.01.013
Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms, Neural Networks, vol.18, issue.7, pp.934-950, 2005. ,
DOI : 10.1016/j.neunet.2005.03.010
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology, Applied Soft Computing, vol.11, issue.1, pp.534-550, 2011. ,
DOI : 10.1016/j.asoc.2009.12.013
Selective negative correlation learning approach to incremental learning, Neurocomputing, vol.72, issue.13-15, pp.2796-2805, 2009. ,
DOI : 10.1016/j.neucom.2008.09.022
A neural evolutionary approach to financial modeling, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.1605-1612 ,
DOI : 10.1145/1143997.1144263
Modeling Turning Points in Financial Markets with Soft Computing Techniques, Natural Computing in Computational Finance, pp.147-167, 2010. ,
DOI : 10.1007/978-3-642-13950-5_9
Incipient Fault Diagnosis in Electrical Drives by Tuned Neural Networks, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, pp.1284-1289 ,
DOI : 10.1109/IMTC.2006.328495
Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), pp.148-152 ,
DOI : 10.1109/DEXA.2007.71
URL : http://hdl.handle.net/2434/48405
A Neural Evolutionary Classification Method for Brain-Wave Analysis, Proceedings of the European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, pp.500-504 ,
DOI : 10.1007/11732242_45
Evolutionary ANNs: A state of the art survey, Intelligenza Artificiale, vol.5, pp.19-35, 2011. ,
A survey of evolutionary strategies, Proceedings of the Fourth International Conference on Genetic Algorithms, pp.2-9, 1991. ,
The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA), Evolutionary Computation, vol.2, issue.4, pp.335-360, 1993. ,
DOI : 10.1016/0301-6226(91)90060-4
Genetic Algorithms in Search, Optimization and Machine Learning, 1989. ,
Numerical Optimization for Computer Models, 1981. ,
PROBEN1 ? a set of neural network benchmark problems and benchmarking rules, 1994. ,
Methods of conjugate gradients for solving linear systems, Journal of Research of the National Bureau of Standards, vol.49, 1952. ,
Introduction to Computational Intelligence, 2007. ,
DOI : 10.1002/9780470512517.ch1
Combined projection and kernel basis functions for classification in evolutionary neural networks, Neurocomputing, vol.72, issue.13-15, pp.2731-2742, 2009. ,
DOI : 10.1016/j.neucom.2008.09.020
Evolutionary <mml:math altimg="si13.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:mi>q</mml:mi></mml:math>-Gaussian radial basis function neural networks for multiclassification, Neural Networks, vol.24, issue.7, pp.779-784, 2011. ,
DOI : 10.1016/j.neunet.2011.03.014
MIMO CMAC neural network classifier for solving classification problems, Applied Soft Computing, vol.11, issue.2, pp.2326-2333, 2011. ,
DOI : 10.1016/j.asoc.2010.08.013
Evolutionary product-unit neural networks classifiers, Neurocomputing, vol.72, issue.1-3, pp.548-561, 2008. ,
DOI : 10.1016/j.neucom.2007.11.019