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This approximation is formulated as an optimization problem and solved by the gradient descent algorithm.
Two distinct methods are utilized for fuzzy modeling, the least squares and the gradient descent techniques.
The training data is split into mini-batches with 100 patches per mini-batch, and each iteration of the gradient descent occurs over one mini-batch.
The controller gain factors of the PID controller can automatically tune based on the gradient descent method.
Then, the expressions for the gradient descent updating rule are derived and the NN decoder was designed.
The controller parameters are adjusted on-line by using the gradient descent algorithm and information provided by the JITL.
On the contrary to what happened in the non-smooth case, here the gradient descent idea does not attain a rate that matches the lower bound ( v.s. ).
After that, the connecting weights of the network can be easily obtained via either pseudo-inverse solution or the gradient descent algorithm.
By using the gradient descent method to adjust the QFT parameters, the novel STQFT controller is able to adapt to a wide range of working conditions.
The gradient descent evolution equation is (3).
To minimize Eq. (26), we can use the gradient descent.
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