Machine Learning-based Structural Pre-route Insertability Prediction and Improvement with Guided Backpropagation.
Tao-Chun YuShao-Yun FangHsien-Shih ChiuKai-Shun HuChin-Hsiung HsuPhilip Hui-Yuh TaiCindy Chin-Fang ShenPublished in: ASP-DAC (2021)
Keyphrases
- back propagation
- machine learning
- neural network ensemble
- learning algorithm
- artificial neural networks
- feed forward
- neural network
- training algorithm
- neural nets
- multilayer perceptron
- bp algorithm
- bp neural network
- feed forward neural networks
- radial basis function neural network
- feedforward neural networks
- backpropagation neural network
- fuzzy logic
- connection weights
- hidden layer
- trained neural network
- multilayer perceptron neural network
- prediction accuracy
- machine learning algorithms
- backpropagation algorithm
- levenberg marquardt
- prediction model
- machine learning methods
- multi layer neural network
- backpropagation neural networks
- competitive learning
- error back propagation
- feature selection
- multilayer neural network
- artificial intelligence
- activation function
- extended kalman filter
- learning tasks
- supervised learning
- support vector machine
- expert systems
- decision trees
- data mining