Title :
ANN-modeled-classification based on Pi-calculus
Author_Institution :
Coll. of Comput. Sci., Xian Polytech. Univ., Xian
Abstract :
Pattern classification is an instinct in human, and artificial neural networks (ANN) can be its biotical simulation. Therefore, a pattern classification based on Pi calculus is firstly discussed, which use the same basic principles of concurrent computation as neural networks; secondly this paper introduces a method to use Pi calculus for ANN and illustrating equivalence between them. Finally its superiority is also discussed.
Keywords :
neural nets; pattern classification; pi calculus; ANN-modeled-classification; Pi-calculus; artificial neural networks; biotical simulation; pattern classification; Artificial neural networks; Calculus; Computer networks; Concurrent computing; Humans; Machine learning; Neural networks; Neurons; Pattern classification; Support vector machines;
Conference_Titel :
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2512-9
Electronic_ISBN :
978-1-4244-2513-6
DOI :
10.1109/GRC.2008.4664759
