Results 211 to 220 of about 56,733 (259)

A genetic programming-based feature selection and fusion for facial expression recognition

Applied Soft Computing Journal, 2021
Abstract Emotion recognition has become one of the most active research areas in pattern recognition due to the emergence of human–machine interaction systems. Describing facial expression is a very challenging problem since it relies on the quality of the face representation.
Haythem Ghazouani
exaly   +2 more sources

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

International Journal of Rock Mechanics and Minings Sciences, 2016
This research is aimed to develop new practical equations to predict flyrock distance based on genetic programming (GP) and genetic expression programming (GEP) techniques. For this purpose, 97 blasting operations in Delkan iron mine, Iran were investigated and the most effective parameters on flyrock were recorded. A database comprising of five inputs
Roohollah Shirani Faradonbeh   +2 more
exaly   +2 more sources

Symbolic regression on noisy data with genetic and gene expression programming

Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005
This paper presents a novel method to perform regression on a finite sample of noisy data. The purpose is to obtain a mathematical model for data which is both reliable and valid, yet the analytical expression is not restricted to any particular form.
Elena Bautu, Andrei Bautu, Henri Luchian
exaly   +2 more sources

Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy

Expert Systems With Applications, 2011
Liquefaction of soils induced by the earthquake is one of the major complex problems for the geotechnical engineering. It is generally determined from in situ tests and laboratory test of which application is very difficult, expensive and time consuming. They also require extreme cautions and labor.
exaly   +2 more sources

Classification of Gene Expression Data with Genetic Programming

2003
This paper summarizes the use of a genetic programming (GP) system to develop classification rules for gene expression data that hold promise for the development of new molecular diagnostics. This work focuses on discovering simple, accurate rules that diagnose diseases based on changes of gene expression profiles within a diseased cell. GP is shown to
Joseph A. Driscoll   +2 more
exaly   +2 more sources

Functional genetic programming and exhaustive program search with combinator expressions [PDF]

open access: possibleInternational Journal of Knowledge-based and Intelligent Engineering Systems, 2008
Using a strongly typed functional programming language for genetic programming has many advantages, but evolving functional programs with variables requires complex genetic operators with special cases to avoid creating ill-formed programs. We introduce combinator expressions as an alternative program representation for genetic programming, providing ...
Forrest Briggs, Melissa E. O'Neill
openaire   +2 more sources

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