The Fire Surveys Studies Based on the Fuzzy Clustering and the Neural Network

Yan Ling Zheng; Zhan Kui Wang; Xin Ning

doi:10.4028/www.scientific.net/AMR.468-471.1475

Paper Titles

Simulation and Analysis on the Effect of the Antiroll-Bar on the Automobile Steady State Response
p.1459

Research on the Embedded Coefficient in Compressive Stress
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Surface Finish Study of Hard Milling 45 Steel with PCBN Tool
p.1467

Study on the Nonlinear Vibration of Complex Rotor System under the Effect of Temperature Fields
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The Fire Surveys Studies Based on the Fuzzy Clustering and the Neural Network
p.1475

The Analyzing of the Relationship between Function and Form in Industrial Product Design Process Optimization
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Distinction of Different Heat-Treated Skim Milk by RP-HPLC of their Whey Proteins
p.1482

Distributed Measuring and Control System of Torque Rheometer
p.1486

The Design of HTG Automatic Calibration System Based on Fuzzy Theory
p.1490

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The Fire Surveys Studies Based on the Fuzzy Clustering and the Neural Network

Abstract:

Lowly accuracy in view of the present fire which exists, reporting mistakenly rate is high, as well as with difficulty giving alarm in time, this article has made the improvement and the analysis from many aspects. Regarding to the signal collected, based on the analysis of fire signal characteristic, I used FCM method to carry on the judgment, and used fuzzily clustering nerve network method to make the further improvement, unified the improvement effec of the method through the simulation and the experiment. In brief, through this article research, I surveyed the algorithm for the fire to carry on further inquired into that. It has the certain practical significance to the the development of the fire survey studies.