Convolutional Neural Network for Transmission Line Fault Diagnosis Based on Signal Segmentation Approach
Convolutional Neural Network (CNN) is a Deep Learning algorithm that can take in an input signal, assign importance (learnable weights and biases) to various aspects of the signals and distinguish between them. The CNN algorithm trains a sample and obtains a CNN model capable of identifying differen...
相似书籍
-
A robust transmission line fault classification scheme using class-dependent feature and 2-Tier multilayer perceptron network
由: Mahmud M.N.; Ibrahim M.N.; Osman M.K.; Hussain Z.
出版: (2018) -
Comparison of Various Colorization Techniques for MRI Brain Tumor Segmentation using Convolutional Neural Networks
由: Azam A.S.B.; Jumaat A.K.; Ibrahim S.
出版: (2023) -
Artificial Neural Network-Based Fault Diagnosis of Gearbox using Empirical Mode Decomposition from Vibration Response
由: Mutra R.R.; Reddy D.M.; Amarnath M.; Rani M.N.A.; Yunus M.A.; Sani M.S.M.
出版: (2023) -
Deep convolution neural network for crack detection on asphalt pavement
由: Yusof N.A.M.; Ibrahim A.; Noor M.H.M.; Tahir N.M.; Yusof N.M.; Abidin N.Z.; Osman M.K.
出版: (2019) -
Artificial neural network and convolutional neural network for prediction of dental caries
由: Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
出版: (2024)