earticle

논문검색

State Recognition Based on Hidden Markov Model

초록

영어

This paper puts towards the improvement of the HMM algorithm, then proposed the HMM state identification model of the electronic equipment. It is verified by examples of the experiment, which results show that the HMM state recognition effect is better, recognition rate can reach 94%.Finally, and the experimental results were analyzed, and found the number of hidden states and have bigger influence on the model of training samples.

목차

Abstract
 1. Introduction
 2. Theory of Based on HMM
 3. Improvement of HMM Algorithm
 4. Model for State Recognition Based on Hidden Markov Model
  4.1. Basic Structure of HMM
  4.2. Build Model of HMM for Electronic Equipment
  4.3. Model for State Recognition
  4.4. State Recognition Based on HMM
 5. Conclusion
 References

저자정보

  • Xu Yanyi Navy University of Engineering, Wuhan, China
  • Lv Jinhua Wuhan Institute of Shipbuilding Technology, Wuhan, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.