Recursive Generalized Neural Networks (RGNN) for the Modeling of ...
Recursive Generalized Neural Networks (RGNN) for the Modeling of ...
Recursive Generalized Neural Networks (RGNN) for the Modeling of ...
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<strong>RGNN</strong>/Complex Parameters<br />
● 30 Neurons<br />
● 810 Weights<br />
● Activation functions: tanh <strong>for</strong> hidden,<br />
linear <strong>for</strong> output<br />
● Bounds: <strong>for</strong>ward weights: +/- 5, feedback<br />
weights +/- 1<br />
● Fitness: negative RMS error, number <strong>of</strong><br />
finite values <strong>for</strong> unstable parameters<br />
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