Application of artificial neural networks in speciation analysis
LUBAL, Přemysl and Marta FARKOVÁ. Application of artificial neural networks in speciation analysis. In Utilizing of Bio-Electrochemical and Mathematical Methods in Biological Research. Kerala: Research Signpost, 2007, p. 35-49. BIOLOGICAL SCIENCES 37/661 (2). ISBN 81-308-0163-9. |
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Basic information | |
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Original name | Application of artificial neural networks in speciation analysis |
Name in Czech | Použití umělých neuronových sítí v speciační analýze |
Authors | LUBAL, Přemysl (203 Czech Republic, guarantor) and Marta FARKOVÁ (203 Czech Republic). |
Edition | Kerala, Utilizing of Bio-Electrochemical and Mathematical Methods in Biological Research, p. 35-49, 15 pp. BIOLOGICAL SCIENCES 37/661 (2), 2007. |
Publisher | Research Signpost |
Other information | |
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Original language | English |
Type of outcome | Chapter(s) of a specialized book |
Field of Study | 10406 Analytical chemistry |
Country of publisher | India |
Confidentiality degree | is not subject to a state or trade secret |
RIV identification code | RIV/00216224:14310/07:00029049 |
Organization unit | Faculty of Science |
ISBN | 81-308-0163-9 |
Keywords in English | Artificial neural networks;speciation analysis; environmental chemistry; element migration |
Tags | artificial neural networks, element migration, Environmental Chemistry, speciation analysis |
Tags | International impact, Reviewed |
Changed by | Changed by: prof. RNDr. Přemysl Lubal, Ph.D., učo 1271. Changed: 7/4/2010 17:03. |
Abstract |
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Chemical species is specific form of an element defined as to isotopic composition, electronic or oxidation state, and/or complex or molecular structure. Speciation analysis is identification and quantitative measurement of one or more individual chemical species in a sample in which the distribution of chemical species is dependent on experimental conditions. The speciation analysis becomes one of the most growing branches of analytical chemistry. The chapter is focused on application of artificial neural networks for the speciation analysis and their possibilities for future utilization are discussed. |
Abstract (in Czech) |
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Chemická species je specifická forma prvku definovaná svým isotopickým složením, el. nebo ox. stavem, anebo strukturou komplexu nebo mol. strukturou. Speciační analýza je identifikace a kvant. meření jedné nebo více jednotlivých chemických species ve vzorku, kde je distribuce chemických species závislá na experimentálních podmínkách. Speciační analýza se stává jednou z nejvíce rostoucích oblastí analytické chemie. Kapitola se soustřeďuje na popis použití umělých neuronových sítí pro speciační analýzu a jejich možnosti pro budoucí použití jsou diskutovány. |
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GA203/02/1103, research and development project | Name: Umělé neuronové sítě a plánování pokusů v analytické chemii, zejména v separačních metodách |
Investor: Czech Science Foundation, Artificial neural networks and experimental design in analytical chemistry, especially in separation methods | |
LC06035, research and development project | Name: Centrum biofyzikální chemie, bioelektrochemie a bioanalýzy. Nové nástroje pro genomiku, proteomiku a biomedicínu. |
Investor: Ministry of Education, Youth and Sports of the CR, Centre of Biophysical Chemistry, Bioelectrochemistry and Bioanalysis. New Tools for Genomics, Proteomics and Biomedicine |
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