Sentence examples for batch back from inspiring English sources
My first batch, back then, went well.
To acquire the optimum topologies, ANN was trained by quick propagation (QP), Batch Back Propagation (BBP), Incremental Back Propagation (IBP), genetic algorithm (GA) and Levenberg-Marquardt (LM) algorithms for testing data set.
Cucinelli had sold a boatload of sweaters since that first batch back in 1978, including the half-zipper cashmere versions that put the brand on some U.S. retailers' maps.
Networks were trained by different learning algorithms (incremental back propagation, IBP; batch back propagation, BBP; quickprob, QP; genetic algorithm, GA; and Levenberg-Marquardt algorithm, LM).
Multilayer normal feedforward and multilayer full feedforward neural networks were used to predict the percentage yields of palm-based wax ester that were trained by different learning algorithms (incremental back propagation, IBP; batch back propagation, BBP; quickprob, QP; genetic algorithm, GA; and Levenberg-Marquardt algorithm, LM).
We further made a control of persistent gene's indispensability during the simulation: supposing that deletion of persistent gene(s) had no fitness effect (while inserting the deleted gene batch back into the chromosome at a randomly chosen place), persistent genes clustering constantly appeared in just 2 ~ 3% chromosomes, and did not vary over generations (blue curve in Figure 5.a).
The method is based on a batch back-propagation neural network algorithm (NNA), which is taken as a variable learning rate mode.
Batch, back-up, and replication tasks are excluded.
Surface speciation of gibbsite was conducted with FITEQL (version 4.0) based on the batch-back titration data using the constant capacitance and the diffuse double-layer model [30].
The amount of surface hydroxyl groups and their acid base properties were characterized by batch-back titration [24], using a PC-controlled titration system (751 GPD Titrino with software Vesuv 3.0, Metrohm AG, Herisau, Switzerland).
A three-layer feed forward neural network trained with a Levenberg Marquardt batch error back propagation algorithm has been used to model ion chromatographic retention mechanisms.
