Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
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- 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
- The use of the area under the ROC curve in the evaluation of machine learning algorithms→Improving the learning speed of 2-layer neural networks by choosing initial values of the…Legacy edge — source detail unavailable
- 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→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→Improving the learning speed of 2-layer neural networks by choosing initial values of the…Legacy 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
- Improving the learning speed of 2-layer neural networks by choosing initial values of the…→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Gauss-Newton approximation to Bayesian learning→Training feedforward networks with the Marquardt algorithmLegacy edge — source detail unavailable
- 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Gauss-Newton approximation to Bayesian learningLegacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Training feedforward networks with the Marquardt algorithmLegacy edge — source detail unavailable
- Neural Network Toolbox™ User's Guide→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- The use of the area under the ROC curve in the evaluation of machine learning algorithms→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Learning Internal Representations by Error Propagation | 1985 | 16,273 |
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| Neural Networks and Applications | Computer Science |
| Fuzzy Logic and Control Systems | Computer Science |
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