Determination of polychlorinated biphenyl levels in the serum of residents and in the homogenates of seafood from the New Bedford, Massachusetts, area: A comparison of exposure sources through pattern recognition techniques

1994 ◽  
Vol 144 (1-3) ◽  
pp. 153-177 ◽  
Author(s):  
Virlyn W. Burse ◽  
Donald F. Groce ◽  
Samuel P. Caudill ◽  
Margaret P. Korver ◽  
Donald L. Phillips ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Polychlorinated Biphenyl ◽  
Pattern Recognition Techniques

AN AUTO-PICKING STACKING VELOCITY ALGORITHM BASED ON AN AI AND PR APPROACH

1989 ◽  
Vol 03 (01) ◽  
pp. 103-111
Author(s):  
L. WU ◽  
Z. LUO ◽  
J. ZHOU ◽  
H. WANG
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Data Processing ◽  
Seismic Data ◽  
Seismic Data Processing ◽  
Pattern Recognition Techniques ◽  
Automatic Algorithm

Stacking velocity is a very important parameter in seismic data processing. Until now the determination of stacking velocity has been done manually. This article proposes an automatic algorithm for picking stacking velocity. The algorithm uses artificial intelligence and pattern recognition techniques.

Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques

2016 ◽  
pp. 167-184
Author(s):  
Swaptik Chowdhury ◽  
Pratik Goyal ◽  
R. Hariharan ◽  
Pijush Samui
Keyword(s):  
Pattern Recognition ◽  
Rock Slope ◽  
Slope Angle ◽  
Classification Problem ◽  
Unit Weight ◽  
Pattern Recognition Techniques ◽  
Robust Model ◽  
Learning Machine ◽  
Stability Of Rock Slope

This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope. The proposed MPM and ELM models use unit weight (?), cohesions (cA) and (cB), angles of internal friction (?A) and ?B, angle of the line of intersection of the two joint-sets (?p), slope angle (?f), and height (H) as input parameters. For this chapter the determination of stability of rock slope has been adopted as classification problem. The developed MPM and ELM have been compared with each other. The results of this article shows that the developed MPM is robust model for prediction of stability status of rock slope.

Determination of toxic gases based on the responses of a single electrocatalytic sensor and pattern recognition techniques

2014 ◽  
Vol 25 (2) ◽  
pp. 025101 ◽  
Author(s):  
Pawel Kalinowski ◽  
Anna Strzelczyk ◽  
Lukasz Wozniak ◽  
Grzegorz Jasinski ◽  
Piotr Jasinski
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Techniques ◽  
Toxic Gases
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