Sustainability Performance Indicators Construction with Using Neural Networks in Maple

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F15%3A43907324" target="_blank" >RIV/62156489:43110/15:43907324 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26510/15:PU117620
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Sustainability Performance Indicators Construction with Using Neural Networks in Maple
Original language description
The construction of sustainability performance indicators with using neural networks is an appropriate path to measuring and optimizing sustainable corporate performance. It is described in the paper as a modern method of implementation of artificial intelligence methods. The potential of neural networks is presented in the field of the adaptation of the various company characteristics. There are discussed two nontrivially calculated indicators: the Economic Value Added (EVA) and the Cash Flow Return on Investment (CFROI). It is known that is sufficient to have the basis of knowledge of several samples, without the knowledge of the internal links, for neural network modelling. The user friendly mathematical software Maple is introduced for the solution of those tasks. Maple has become the strong computational tool of mathematical, financial and economic modelling in education, research and practice. It allows implementing the appropriate neural network, which would be used by company managers while maintaining the complexity of values and meaningful indicators of economic performance to remove their discovered disadvantage
Czech name
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Czech description
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Project
<a href="/en/project/GA14-23079S" target="_blank" >GA14-23079S: Measuring Corporate Sustainability in Selected Sectors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth
ISBN
978-0-9860419-5-2
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
2035-2045
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Norristown
Event location
Madrid
Event date
Nov 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366872700203

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