Sentence examples for gradient back from inspiring English sources

Present investigation focuses design & simulation study of a three phase three wire DSTATCOM deploying a conjugate gradient back propagation (CGBP) based icos ϕ neural network technique.

Separation was performed on a Hypersil Gold PFP column (100 mm × 2.1 mm, 1.9 μm) in 11 minutes with a flow rate of 250 μL/min using a binary gradient mobile phase consisting of acetonitrile (B) and 0.1% formic acid (C) in water according to the following program: gradient from 10%to90%0% C in 6.0 min and held it for 2 min, and gradient back to 10% C in one min and held the gradient for 2 min.

ATP synthase releases this stored energy by completing the circuit and allowing protons to flow down the electrochemical gradient, back to the N-side of the membrane.

By reintroducing a weak rostrocaudal gradient back into the SC, a largest ordered submap consistent with experiments can be produced by the other two models.

The gradient was running isocratic for 1 min at 99% A, followed by a 49 min gradient to 1% A. The 1% A was running isocratic for 5 min, followed by a 5 min gradient back to initial settings (that is, 99% A).

The gradient consisted of isocratic conditions at 5% B for 10 min, a linear gradient to 30% B over 40 min, a linear gradient to 100% B over 10 min, and then a linear gradient back to 5% B over 5 min. MS analyses were performed in positive mode using ESI with a NanoLockSpray source.

Then, a distributed gradient back-propagation algorithm is derived for the general case.

Other features revealed in this and previous leaks of the phone include a six-inch screen, more of that gradient backing, a 24MP selfie camera in a streamlined notch on the front, with a Sony triple camera at 38MP with 5x optical zoom on the back, and no fingerprint sensor port, with the device likely to be shipping in 128GB and 256GB versions.

The first one is based on the gradient back-propagation with momentum (BPM) [ 12] and the second one uses the Levenberg-Marquardt algorithm (LM) [ 13].

However, prediction accuracy for the ANN with scaled conjugate gradient back-propagation was lower, ranging from 0.653 to 0.689 with the 3K-SNP panel, and from 0.743 to 0.793 with the selected 700-SNP panel.

His descent from the mountains is more relaxed and he allows the ESFLOW to overrun on the long sweeping curves, turning the potential energy he and the car gained climbing up the gradients back in to electrical energy he can use once he hits the roads around Barcelona.