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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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IJCAI
1989
13 years 8 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
IWANN
1995
Springer
13 years 11 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
ICICIC
2006
IEEE
14 years 1 months ago
Integration of Genetic Algorithm and Neural Network for Financial Early Warning System: An Example of Taiwanese Banking Industry
Genetic algorithm and neural network (GNN) are integrated to build a financial early warning system. An example of Taiwanese banking industry is discussed to test the hit ratio of...
Jih-Chang Hsieh, Pei-Chann Chang, Shih-Hsin Chen
IWANN
2007
Springer
14 years 1 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...