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ICONIP
1998
13 years 7 months ago
Smoothing of Chemical Analysis Data by Neural Networks
Toru Watanabe, Satoru Kishida, Tadaaki Kawai, Kenn...
ICONIP
2004
13 years 7 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....
ICONIP
1998
13 years 7 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
ICONIP
1998
13 years 7 months ago
Genetic Algorithms for the Design of Fuzzy Neural Networks
The paper presents a methodology for designing the structure of a fuzzy neural network in a multi-modular connectionist system for classification purposes and illustrates the meth...
Michael J. Watts, Nikola K. Kasabov
ICONIP
2007
13 years 7 months ago
Diverse Evolutionary Neural Networks Based on Information Theory
There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
Kyung-Joong Kim, Sung-Bae Cho