Application of artificial neural networks in speciation analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00029049" target="_blank" >RIV/00216224:14310/07:00029049 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of artificial neural networks in speciation analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
CB - Analytical chemistry, separation
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Utilizing of Bio-Electrochemical and Mathematical Methods in Biological Research
ISBN
81-308-0163-9
Number of pages of the result
15
Pages from-to
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Number of pages of the book
200
Publisher name
Research Signpost
Place of publication
Kerala
UT code for WoS chapter
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