Isolated word recognition by neural network models with cross-correlation coefficients for speech dynamics

1993 ◽  
Vol 15 (11) ◽  
pp. 1174-1185 ◽  
Author(s):  
Jianxiong Wu ◽  
Chorkin Chan
Keyword(s):  
Neural Network ◽  
Word Recognition ◽  
Cross Correlation ◽  
Correlation Coefficients ◽  
Network Models ◽  
Neural Network Models ◽  
Isolated Word ◽  
Isolated Word Recognition

scholarly journals The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

2021 ◽  
Vol 11 (3) ◽  
pp. 908
Author(s):  
Jie Zeng ◽  
Panagiotis G. Asteris ◽  
Anna P. Mamou ◽  
Ahmed Salih Mohammed ◽  
Emmanuil A. Golias ◽  
...  
Keyword(s):  
Neural Network ◽  
Numerical Models ◽  
Correlation Coefficients ◽  
Network Models ◽  
Small Scale ◽  
Offshore Platforms ◽  
Neural Network Models ◽  
Buried Pipes ◽  
Ensemble Techniques ◽  
Uplift Resistance

Buried pipes are extensively used for oil transportation from offshore platforms. Under unfavorable loading combinations, the pipe’s uplift resistance may be exceeded, which may result in excessive deformations and significant disruptions. This paper presents findings from a series of small-scale tests performed on pipes buried in geogrid-reinforced sands, with the measured peak uplift resistance being used to calibrate advanced numerical models employing neural networks. Multilayer perceptron (MLP) and Radial Basis Function (RBF) primary structure types have been used to train two neural network models, which were then further developed using bagging and boosting ensemble techniques. Correlation coefficients in excess of 0.954 between the measured and predicted peak uplift resistance have been achieved. The results show that the design of pipelines can be significantly improved using the proposed novel, reliable and robust soft computing models.

Cross-correlation neural network models

1994 ◽  
Vol 42 (11) ◽  
pp. 3218-3223 ◽  
Author(s):  
K.I. Diamantaras ◽  
Sun-Yuan Kung
Keyword(s):  
Neural Network ◽  
Cross Correlation ◽  
Network Models ◽  
Neural Network Models
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