Advances in Artificial Neural Systems / 2009 / Article / Fig 7

Research Article

Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method

Figure 7

Error and Kullback-Leibler divergence between the teaching sequences and output generated by the RNN for 200 000 learning steps in experiment 1.

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