Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometr
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...
Abstract. A genetic algorithm (GA) had been developed and implemented in order to identify the optim...
Abstract: A genetic algorithm had been developed and implemented in order to identify the optimal de...
Genetic algorithm was used for variable selection in simultaneous determination of mixtures of gluco...
Contains fulltext : mmubn000001_167753932.pdf (publisher's version ) (Open Access)...
This review covers the application of Genetic Algorithms (GAs) in Chemometrics. The first applicatio...
It is nowadays widely accepted that genetic algorithms (GAs) are powerful tools in variable selectio...
Multivariate curve resolution (MCR) and especially the orthogonal projection approach (OPA) can be a...
In iterative non-linear least-squares fitting, the reliable estimation of initial parameters that le...
One of the main problems of quantitative analytical chemistry is to estimate the concentration of on...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
This Phd thesis focuses on the generation and optimization of calibration models. When calculating t...
Genetic algorithm (GA) is used in automatic qualitative analysis by a sequential inductively coupled...
This paper presents a review of Genetic Algorithms (GAs) and its applications within the field of Ch...
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...
Abstract. A genetic algorithm (GA) had been developed and implemented in order to identify the optim...
Abstract: A genetic algorithm had been developed and implemented in order to identify the optimal de...
Genetic algorithm was used for variable selection in simultaneous determination of mixtures of gluco...
Contains fulltext : mmubn000001_167753932.pdf (publisher's version ) (Open Access)...
This review covers the application of Genetic Algorithms (GAs) in Chemometrics. The first applicatio...
It is nowadays widely accepted that genetic algorithms (GAs) are powerful tools in variable selectio...
Multivariate curve resolution (MCR) and especially the orthogonal projection approach (OPA) can be a...
In iterative non-linear least-squares fitting, the reliable estimation of initial parameters that le...
One of the main problems of quantitative analytical chemistry is to estimate the concentration of on...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
This Phd thesis focuses on the generation and optimization of calibration models. When calculating t...
Genetic algorithm (GA) is used in automatic qualitative analysis by a sequential inductively coupled...
This paper presents a review of Genetic Algorithms (GAs) and its applications within the field of Ch...
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...
Abstract. A genetic algorithm (GA) had been developed and implemented in order to identify the optim...
Abstract: A genetic algorithm had been developed and implemented in order to identify the optimal de...