Language: English
Published by LAP Lambert Academic Publishing, 2013
ISBN 10: 365933300X ISBN 13: 9783659333002
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Input handling in agent based micro level simulators | Muhammad Saleem Fayyaz | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659333002 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365933300X ISBN 13: 9783659333002
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365933300X ISBN 13: 9783659333002
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fayyaz Muhammad SaleemM. Saleem Fayyaz, MSc: studied computer science at Blekinge institute of technology, Sweden. Has experiences from Uiq, Sony Ericsson and Samsung. Has research interest in theoretical and foundations of computer .
Language: English
Published by LAP Lambert Academic Publishing, 2013
ISBN 10: 365933300X ISBN 13: 9783659333002
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new approach is presented for handling missing values in multi-level agent-based simulation (MABS) at micro-level by using truth tables and logical relations. Although micro-level simulation is a vast field to use logical relations with truth tables to find missing values but it takes values into account at individual levels. We used databases in form of tables to extract missing values. We have defined logical relations according to scenario by interacting with truth tables to find appropriate missing values. In this research we have concluded that missing values would be handled in different ways, such as: Artificial neural network, K-nearest neighbor, Statistical method and Data mining; etc These methods have not facilitated in finding appropriate missing values as we saw in literature. We have created a method that can find missing values and produce good results. We have run our method on a specific scenario to check the efficiency of input handling that motivated us to arrange database in a proper way to handle missing values along.