Similar words: gradient, gradient change, temperature gradient, descent, incandescent, iridescent, descendent, recrudescent.
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1. Gradient descent algorithm using momentum BP network training.
2. It can be solved by iteration of gradient descent.
3. Based on gradient descent rule, the BP ( Back Propagation ) algorithm is a local optimization algorithm.
4. Instead of gradient descent method, recursive least-square algorithm is used to train the fuzzy neural network to overcome the defect of the low convergence rate and local minimal.
5. A new gradient descent algorithm for unconstrained optimization problem is proposed.
6. Among known model-free optimization techniques, stochastic parallel perturbative gradient descent is perhaps the most promising for adaptive optics applications.
7. The parameters in the classifier are tuned automatically by minimizing error functions through gradient descent.
8. In this scheme, the inputs of hidden layer neurons are acquired by using the gradient descent method, and the weights and threshold of each neuron are trained using the linear least square method.
9. A practical cooling regime was established then, and a network with better performances was obtained by combining simulated annealing algorithm with gradient descent method.
9. Sentencedict.com try its best to gather and make good sentences.
10. So we can use the convolution of Laplacian operator to compute the gradient descent.
11. And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
12. Finally, all of the parameters of the T - S model are determined accurately with gradient descent algorithm.
13. The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.
14. An improved algorithm for image restoration was proposed based on Primal - Dual Hybrid Gradient Descent ( PDHGD ) method.
15. For the learning process, a new kind of empirical risk function is proposed which is differentiable and can be minimized by gradient descent strategy.
16. The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.
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