Gauss-Newton approximation to Bayesian learning
F. Dan Foresee low, Martin Hagan
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- Neural Network Toolbox™ User's Guide→Gauss-Newton approximation to Bayesian learningLegacy edge — source detail unavailable
- Gauss-Newton approximation to Bayesian learning→Training feedforward networks with the Marquardt algorithmLegacy edge — source detail unavailable
- Gauss-Newton approximation to Bayesian learning→Neural network designLegacy edge — source detail unavailable
- Gauss-Newton approximation to Bayesian learning→Non-linear time series. A dynamical system approachLegacy edge — source detail unavailable
- Gauss-Newton approximation to Bayesian learning→Improving the learning speed of 2-layer neural networks by choosing initial values of the…Legacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Neural network designLegacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Improving the learning speed of 2-layer neural networks by choosing initial values of the…Legacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Training feedforward networks with the Marquardt algorithmLegacy edge — source detail unavailable
- Training feedforward networks with the Marquardt algorithm→Improving the learning speed of 2-layer neural networks by choosing initial values of the…Legacy edge — source detail unavailable
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| Paper | Year | Cited |
|---|---|---|
| Neural Network Toolbox™ User's Guide | 2015 | 1,644 |
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| Neural Networks and Applications | Computer Science |
| Fault Detection and Control Systems | Engineering |
| Blind Source Separation Techniques | Computer Science |
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