2007 Special Issue: Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting

Authors:
Julio J. Valdés;Alan J. Barton
Affiliations:
National Research Council, Institute for Information Technology, M50, 1200 Montreal Road, Ottawa, Ontario, K1A 0R6, Canada;National Research Council, Institute for Information Technology, M50, 1200 Montreal Road, Ottawa, Ontario, K1A 0R6, Canada
Venue:
Neural Networks
Year:
2007

Citing 9
Cited 4

Multidimensional similarity structure analysis

Multidimensional similarity structure analysis
The optimised internal representation of multilayered classifier networks performs nonlinear discriminant analysis

Neural Networks
Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs

Genetic programming II: automatic discovery of reusable programs
Genetic Programming III: Darwinian Invention & Problem Solving

Genetic Programming III: Darwinian Invention & Problem Solving
Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)

Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)
A Nonlinear Mapping for Data Structure Analysis

IEEE Transactions on Computers
A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation
Artificial neural networks for feature extraction and multivariate data projection

IEEE Transactions on Neural Networks

Neural architectures optimization and genetic algorithms

WSEAS Transactions on Computers
Multi-objective optimization of a stacked neural network using an evolutionary hyper-heuristic

Applied Soft Computing
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning

Neural Networks
Neuro-evolutionary modelling of the electrodeposition stage of a polymer-supported ultrafiltration-electrodeposition process for the recovery of heavy metals

Environmental Modelling & Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

A method for the construction of virtual reality spaces for visual data mining using multi-objective optimization with genetic algorithms on nonlinear discriminant (NDA) neural networks is presented. Two neural network layers (the output and the last hidden) are used for the construction of simultaneous solutions for: (i) a supervised classification of data patterns and (ii) an unsupervised similarity structure preservation between the original data matrix and its image in the new space. A set of spaces are constructed from selected solutions along the Pareto front. This strategy represents a conceptual improvement over spaces computed by single-objective optimization. In addition, genetic programming (in particular gene expression programming) is used for finding analytic representations of the complex mappings generating the spaces (a composition of NDA and orthogonal principal components). The presented approach is domain independent and is illustrated via application to the geophysical prospecting of caves.