Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures

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Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures

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This paper introduces a method for estimating the maximum depth (sub-millimeter) of minor cracks on the surface of aluminum plates used in the aeronautical industry. A set of C-scan eddy current (EC) images, including real and imaginary parts of the impedance, is analyzed to extract suitable features after reducing noise effects, such as background noises and edge noises. |

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Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures

Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time

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Đang chuẩn bị liên kết để tải về tài liệu: Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures

Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time

A detection for positioning sensor node based on multilayer perceptron

Multilayer perceptron method of artificial neural network in classifying concrete compressive strength

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks

NEURAL NETWORKS

Báo cáo hóa học: " Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment"

Chapter 3: Artificial neural networks

Two phase short circuit fault detections for transmission line using wavelet transform and neural network

A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes

An approach based on machine learning techniques for forecasting Vietnamese consumers’ purchase behaviour

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Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures