Genetic algorithm selection of features for hand-printed character identification - Gaborski, Anderson, et al. - 1993Gaborski R.S, Anderson P.G and Tilley D.G (1993) 'Genetic Algorithm Selection of Features for Hand-printed Character Identification' in Artificial Neural Nets and Genetic ...
Peptide identification in liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments relies on computational algorithms for matching acquired MS/MS spectra against sequences of candidate peptides using database search tools, such as MSFragger. Here, we present a new tool, MSBooster, for ...
Selection ofrelevant features in a fuzzy genetic learning algorithm. To appear in IEEE 'Transactions on Systems, Man, and Cybernetics.A. Gonzalez, and R. Perez, "Selection of relevant features in a fuzzy genetic learning algorithm". IEEE Transactions on Systems, Man and Cybernetics - Part B ...
Simulation-based optimization of geometry parameters is an inherent and important stage of microwave design process. To ensure reliability, the optimization process is normally carried out using full-wave electromagnetic (EM) simulation tools, which enta
Content based image retrieval: the use of genetic algorithm to select weights in a similarity measure This paper presents an efficient algorithm for content based images retrieval (CBIR) using a mathematical model, which split an image into a geometrical an... MHOM Dyla,H Tairi 被引量: 0发表...
Computational analyses of genetic and immune landscapes RNA-seq and mutational data of TCGA cohorts and CPTAC-CCRCC cohort were downloaded from the GDC Data Portal (https://portal.gdc.cancer.gov). We performed Gene Ontology (GO) analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyse...
Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm Arch. Civ. Mech. Eng., 13 (2013), pp. 401-411, 10.1016/j.acme.2013.01.008 View PDFView articleView in ScopusGoogle Scholar Zhou et al., 2014 Zhou J., Wang B.Y.,...
Patient-specific epilepsy seizure detectors were designed based on the genetic programming artificial features algorithm, a general-purpose, methodic algorithm comprised by a genetic programming module and a k-nearest neighbor classifier to create synthetic features. Artificial features are an extension to ...
The participants of the CoEPrA contest used various established and new feature selection techniques such as Principal Component Analysis [24], random forests of decision trees by a genetic algorithm [25] and hybrid ant colony optimization/random forest methodology [26]. These methods vary in their...
the GA confines the total number of features and then passes them towards the WCC. All the CSs are scored by the SVM. At the end of the method, the best CS is introduced as an answer to the problem. CS, candidate solution; GA, genetic algorithm; SVM, support vector machines; WCC, ...