| Neural Network Toolbox | |
| Backpropagation |
Provides in-depth discussion of backpropagation networks |
| Control Systems |
Discusses predictive control, feedback linearization, and how to import and export networks and training data |
| Radial Basis Networks |
Discusses radial basis networks, including generalized regression networks and probabilistic neural networks |
| Self-Organizing and Learn. Vector Quant. Nets |
Discusses competitive networks, self-organizing feature maps, and vector quantization networks |
| Recurrent Networks |
Discusses Elman and Hopfield network architectures |
| Adaptive Filters and Adaptive Training |
Discusses adaptive filters and training including the mean square error learning rule and the LMS algorithm learning rule |
| Applications |
Presents several scripts created using the Neural Network Toolbox |
| Advanced Topics |
Discusses advanced topics such as custom networks, additional functions, and custom functions |
| | New Functions | Backpropagation | |
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