Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models.
Yunong ZhangDongsheng GuoZhan LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2013)
Keyphrases
- back propagation
- neural network
- neural nets
- cascade correlation
- error back propagation
- learning rules
- artificial neural networks
- learning algorithm
- feedforward neural networks
- feed forward
- training algorithm
- weight update
- feed forward neural networks
- multilayer perceptron
- bp neural network
- learning tasks
- bp algorithm
- supervised learning
- hidden layer
- fuzzy logic
- decision making
- multilayer neural network
- matrix inversion
- training process
- prediction model
- neural network model
- reinforcement learning
- monte carlo
- support vector machine svm