Title :
Generalization of hidden Markov models using fuzzy integrals
Author :
Mohamed, Magdi ; Gader, Paul
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
The statistical methods of hidden Markov modeling were initially introduced and studied in the late 1960s and early 1970s. They have been found to be extremely useful for a wide spectrum of applications in ecology, cryptanalysis, speech and handwriting recognition. In this paper, we generalize hidden Markov models using fuzzy integrals
Keywords :
functional equations; fuzzy logic; hidden Markov models; integral equations; cryptanalysis; fuzzy integrals; handwriting; hidden Markov models; speech; Application software; Biological system modeling; Clocks; Environmental factors; Handwriting recognition; Hidden Markov models; Probability distribution; Speech; Statistical analysis; Stochastic processes;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375160
