Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases

A. Smoczynska; H Bartnicka; Marek Balazinski; Sofiane Achiche; Maria Elektorowicz; L. Smoczynski

Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases

A. Smoczynska
, H Bartnicka
, Marek Balazinski
, Sofiane Achiche
, Maria Elektorowicz
, L. Smoczynski

Concordia University
University of Warmia and Mazury in Olsztyn
Gdańsk University of Technology
Polytechnique Montreal

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Abstract

Municipal solid wastes can be segregated on the basis of their heavy metal content and their disposale in separate landfill cells. Therefore, the objective of the project was to investigate the interaction between copper (Cu) or Zinc (Zn) and cadmnium (Cd) using equilibrium batch absorbtion experiments. The results of the experimental invistigations were extended using Fuzzy-Logic Knowledge.

Original language	English
Publication date	2005
Publication status	Published - 2005
Externally published	Yes
Event	International Workshop on Fate and Impact of Persistent Pollutants in the Agroecosystems - Pulawy, Poland Duration: 10 Mar 2005 → 12 Mar 2005

Conference

Conference	International Workshop on Fate and Impact of Persistent Pollutants in the Agroecosystems
Country/Territory	Poland
City	Pulawy
Period	10/03/2005 → 12/03/2005

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@conference{114045b914cb40fca04b6dbc0b31b959,

title = "Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases",

abstract = "Municipal solid wastes can be segregated on the basis of their heavy metal content and their disposale in separate landfill cells. Therefore, the objective of the project was to investigate the interaction between copper (Cu) or Zinc (Zn) and cadmnium (Cd) using equilibrium batch absorbtion experiments. The results of the experimental invistigations were extended using Fuzzy-Logic Knowledge.",

author = "A. Smoczynska and H Bartnicka and Marek Balazinski and Sofiane Achiche and Maria Elektorowicz and L. Smoczynski",

year = "2005",

language = "English",

note = "International Workshop on Fate and Impact of Persistent Pollutants in the Agroecosystems ; Conference date: 10-03-2005 Through 12-03-2005",

}

Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases. / Smoczynska, A.; Bartnicka, H; Balazinski, Marek et al.
2005. Abstract from International Workshop on Fate and Impact of Persistent Pollutants in the Agroecosystems, Pulawy, Poland.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases

AU - Smoczynska, A.

AU - Bartnicka, H

AU - Balazinski, Marek

AU - Achiche, Sofiane

AU - Elektorowicz, Maria

AU - Smoczynski, L.

PY - 2005

Y1 - 2005

N2 - Municipal solid wastes can be segregated on the basis of their heavy metal content and their disposale in separate landfill cells. Therefore, the objective of the project was to investigate the interaction between copper (Cu) or Zinc (Zn) and cadmnium (Cd) using equilibrium batch absorbtion experiments. The results of the experimental invistigations were extended using Fuzzy-Logic Knowledge.

AB - Municipal solid wastes can be segregated on the basis of their heavy metal content and their disposale in separate landfill cells. Therefore, the objective of the project was to investigate the interaction between copper (Cu) or Zinc (Zn) and cadmnium (Cd) using equilibrium batch absorbtion experiments. The results of the experimental invistigations were extended using Fuzzy-Logic Knowledge.

M3 - Conference abstract for conference

T2 - International Workshop on Fate and Impact of Persistent Pollutants in the Agroecosystems

Y2 - 10 March 2005 through 12 March 2005

ER -

Assessment of Zn and Cu Effect of Cadmium Sorption Based on Genetically Generated Fuzzy Knowledge Bases

Abstract

Conference

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