Although the feature selection methods are all GA-based, the predictive models are based on a back propagation-trained neural network and partial least squares.
This morning, about 200 of the refugees being held at Camp Lecoq, a marine base on a back road of this town, sat down to block the gate.
The performance of this model was compared to another recognition model based on a Back Propagation neural network (BPNN).
The used ANN models are based on a back propagation algorithm to train a multi-layer feed-forward network (Levenberg Marquardt algorithm).
To improve the basic RF, an ensemble pruning algorithm based on a back propagation neural network that can evaluate the importance of each tree and prune "detrimental" trees is developed.
The proposed multi-layer perceptron ANN, based on a back propagation training algorithm, is able to take as inputs: loads, data concerning the type of day (e.g. weekday/holiday), time of the day and weather data.
Two species were named: the type species L. celer, based on parts of eleven vertebrae (YPM 1875); and the "smaller" L. gracilis, originally based on a back vertebra's centrum, a caudal centrum, and part of an ulna (review by Peter Galton in 1983 finds the specimen to now consist of thirteen back and eight caudal centra, and portions of both hindlimbs).
Therefore, we propose a rather simpler model, based on a back mutation in the btr1/ btregionion from cultivar to var.
The method is based on a batch back-propagation neural network algorithm (NNA), which is taken as a variable learning rate mode.
Based on a back-stepping method, a nonlinear controller is designed for the flexible manipulator system.
