A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture
KA Shastry, HA Sanjay - Knowledge-Based Systems, 2021 - Elsevier
Data pre-processing is a technique that transforms the raw data into a useful format for
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …
Traffic similarity observation using a genetic algorithm and clustering
V Oujezsky, T Horvath - Technologies, 2018 - mdpi.com
This article presents a technique of traffic similarity observation based on the statistical
method of survival analysis by using a genetic algorithm. The basis comes from the k-means …
method of survival analysis by using a genetic algorithm. The basis comes from the k-means …
Fuzzy c-means clustering based uncertainty measure for sample weighting boosts pattern classification efficiency
P Verma, RDS Yadava - 2012 2nd National Conference on …, 2012 - ieeexplore.ieee.org
The paper presents a fuzzy c-means clustering based fuzzy measure for weighting samples
in a dataset for pattern classification. The method improves classification efficiency. The …
in a dataset for pattern classification. The method improves classification efficiency. The …
Genetic algorithm assisted enhancement in pattern recognition efficiency of radial basis neural network
P Verma, RDS Yadava - … , Andhra Pradesh, India, December 19-21, 2011 …, 2011 - Springer
The paper presents a feature extraction method for improving pattern classification efficiency
of the radial basis function neural network. The principal component analysis in combination …
of the radial basis function neural network. The principal component analysis in combination …
Evidence generation for Dempster-Shafer fusion using feature extraction multiplicity and radial basis network
P Verma, RDS Yadava - … on Emerging Trends in Electrical and …, 2011 - ieeexplore.ieee.org
Feature extraction methods in pattern recognition tasks seek to transform data variables to
abstract mathematical variables such that their scores (called features) reveal hidden data …
abstract mathematical variables such that their scores (called features) reveal hidden data …
[PDF][PDF] On genetic algorithm and multiple preprocessor assisted feature boosting for electronic nose signal processing
The paper presents a method for feature extraction that explores data space through
different preprocessing strategies in combination with principal component analysis (PCA) …
different preprocessing strategies in combination with principal component analysis (PCA) …
[引用][C] Signal processing for electronic nose intelligence
P Verma - 2015 - shodhganga.inflibnet.ac.in
Shodhganga@INFLIBNET: Signal Processing for Electronic Nose Intelligence Skip
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