Neural network error backpropagation

Garrido L, Gomez S, Roca J. Improved multidimensional scaling analysis using neural networks with distance-error backpropagation. Neural Comput 1999 11 595-600. 

A schematic diagram of the neural network-based adaptive control technique is shown in Fig. 4.9. A neural network identification model is trained using a static backpropagation algorithm to generate p(fc + 1), given past values of y and u. The identification error is then used to update the weights of the neural identification model. The control error is used to update the... 

Figure 3 Multilayer neural network with feedforward and error backpropagation.

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