Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Jin, Yaochu (Επιμελητής έκδοσης), Wang, Lipo (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:	Studies in Fuzziness and Soft Computing, 242
Θέματα:	Computer science. Artificial intelligence. Computer-aided engineering. Applied mathematics. Engineering mathematics. Computer Science. Computer-Aided Engineering (CAD, CAE) and Design. Appl.Mathematics/Computational Methods of Engineering. Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:	Full Text via HEAL-Link

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