2010 Fourth International Conference on Genetic and Evolutionary Computing

Format:

Book

Author/Creator:

International Conference on Genetic and Evolutionary Computing, author.

Contributor:

IEEE Staff, Contributor.

Language:

English

Subjects (All):

Evolutionary computation--Congresses.

Evolutionary computation.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] I E E E 2010

Language Note:

English

Summary:

Coal or rock electromagnetic emission analysis is a promising method for predicting coal or rock dynamic disasters. Hidden Markov Model (HMM) is applied to this problem in this paper. HMM model is a processing method of dynamic information based on probability, which can reflect both randomicity and potential structure of the object. Model selecting of HMM Bayes Information Criterion is combined with classical optimization algorithm. Moreover, k-means clustering algorithm and Gaussian mixture model are introduced to initial HMM model. Researches in this paper indicate that HMM is an outstanding probability learning model which can perfectly analyse coal or rock electromagnetic emission time series problems.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9780769542812

0769542816