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Exploration of Genetic Programming Optimal Parameters for Feature Extraction from Remote Sensed Imagery
Genetic programming feature extraction optimal parameters
2014/12/4
Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input param...
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
Gaussian Process Genetic Programming Structure Identification
2013/6/14
In this contribution we describe an approach to evolve composite covariance functions for Gaussian processes using genetic programming. A critical aspect of Gaussian processes and similar kernel-based...
Prediction of Concrete Faced Rock Fill Dams Settlements Using Genetic Programming Algorithm
Concrete Faced Rock-Fill Dams Settlement Genetic Programming Algorithm
2013/3/8
In the present study a Genetic Programing model (GP) proposed for the prediction of relative crest settlement of concrete faced rock fill dams. To this end information of 30 large dams constructed in ...
Genetic programming as a model induction engine
Genetic programming model induction engine
2009/12/7
Present day instrumentation networks already provide immense quantities of data, very little of which provides any insights into the basic physical processes that are occurring in the measured medium....
Using genetic programming to determine Chèzy resistance coefficient in corrugated channels
genetic programming Chèzy resistance coefficient corrugated channels
2009/12/4
Genetic Programming has been used to determine Chèzy resistance coefficient for full circular corrugated channels. Three corrugated plastic pipes have been experimentally studied in order to generate ...
Rainfall Runoff Modelling Based on Genetic Programming
Rainfall Runoff Modelling Genetic Programming
2009/10/22
The runoff formation process is believed to be highly non-linear, time varying,
spatially distributed, and not easily described by simple models. Considerable
time and effort has been directed to mo...
Meta-Genetic Programming: Co-evolving the Operators of Variation
genetic programming automatic programming genetic operators
2009/7/27
The standard Genetic Programming approach is augmented by co-evolving the genetic operators. To do this the operators are coded as trees of indefinite length. In order for this technique to work, the ...
Learning Ranking Functions for Geographic Information Retrieval Using Genetic Programming
Geographic Information Retrieval Ranking Evaluation Genetic Programming Geo graphic metadata
2014/3/11
Geographic Information Retrieval (GIR) has emerged as a new and promising tool for representation, storage, organisation of and access to geographic information. One of the current issues in GIR resea...