International Conference on Data Mining and Applications in Electrical Engineering ICDMAEE on May 27-28, 2023 in Tokyo, Japan

Data mining theory in electrical engineering
Fault analysis
Data mining theory
Electric circuit principle
Machine learning
Information theory for data mining
Decision trees and hierarchical partitioning
Variable reduction and data visualization
Regression in large noisy databases
Classification in the data mining
Fault analysis based on data mining
Fault diagnosis based on node phase voltage
Fault diagnosis based on node negative sequence voltage
Neural network applications in electrical engineering
Artificial neural network in electrical based power industry
Neural networks in control engineering
Fixed stabilizing controllers
Signal classification with perceptron
Limitations of neural networks
Neural network design
Neural network signal processing
Fuzzy logic in electrical engineering
Neuron model and network architectures
Linear transformations for neural networks
Optimal linear associative memories
Principal-components analysis
Backpropagation learning algorithms
Variations on backpropagation
Radial basis networks
Continuous hopfield networks
Competitive networks
Counterpropagation networks
Performance optimization
Performance surfaces and optimum points
Perceptron learning rule
Artificial neural networks