Paper Title:
Noise Classification Based on GMM and AANN
  Abstract

In this paper, Gaussian Mixture model (GMM) as specific method is applied to noise classification. On this basis, a modified Gaussian Mixture Model with an embedded Auto-Associate Neural Network (AANN) is proposed. It integrates the merits of GMM and AANN. We train GMM and AANN as a whole and they are trained by means of Maximum Likelihood (ML). In the process of training, the parameter of GMM and AANN are updated alternately. AANN reshapes the distribution of the data and improves the similarity of the feature data in the same distribution type of noise. Experiments show that the GMM with embedded AANN improves accuracy rate of noise classification against baseline GMM.

  Info
Periodical
Edited by
Qi Luo
Pages
1847-1853
DOI
10.4028/www.scientific.net/AMM.58-60.1847
Citation
Y. Zhang, C. B. Chen, L. Zhao, "Noise Classification Based on GMM and AANN", Applied Mechanics and Materials, Vols. 58-60, pp. 1847-1853, 2011
Online since
June 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shang Jen Chuang, Chiung Hsing Chen, Chien Chih Kao, Fang Tsung Liu
Abstract:English letters cannot be recognized by the Hopfield Neural Network if it contains noise over 50%. This paper proposes a new method to...
2042
Authors: Yun Chu Zhang, Ru Min Zhang, Shi Jun Song
Chapter 8: Modeling, Analysis, and Simulation of Manufacturing Processes
Abstract:This paper analyzes the background modeling mechanism using Gaussian mixture model and the stability /plasticity dilemma in parameters...
2327
Authors: Qiu Chun Jin, Xiao Li Tong
Chapter 4: Materials Processing Technology
Abstract:Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image. A novel color...
650
Authors: Shang Bin Jiao, Fu Cai Qian, Jun Yang
Chapter 6: Algorithm Design
Abstract:A novel parameter estimation method for unknown static parameters of the state space model using particle filtering (PF) has proposed in this...
1820
Authors: Xin Liang Liu, Tao Yin, Guo Dong Wu
Chapter 18: Engineering Management in Construction and Industry
Abstract:Early understanding of construction cost represents a critical factor of a feasibility study in the early design phase of a project. A new...
3100