The Owenses, operating out of the park and out of an office in Mpika, the largest town in the area, had trained, fed, clothed, and armed about sixty motivated scouts in the park.
Dimension optimization of plates internal structure is done by previously trained feed-forward artificial neural network in the third step.
A Levenberg Marquardt algorithm trained feed-forward artificial neural network in quantitative structure activity relationship (QSAR) was developed for modeling of cytotoxicity data for anti-HIV 5-pheny-l-phenylamino-1H-imidazole derivatives.
In addition, we also applied SVM and other traditional neural network classifiers, such as Levenberg-Marquardt trained feed-forward neural network classifier and back-propagation trained feed-forward neural network classifier [ 33], for different feature selections to two real data sets.
The experimental results were used to train feed forward and back propagation learning algorithm with two hidden layers.
Dolphin Connection: Guests train, feed and swim with four Atlantic bottlenose dolphins that reside at Hawks Cay.
Robots would cut back on the money needed to train, feed and supply soldiers at war, along with the continuous cost of medical care and other services provided to veterans.
Download English Assessment of Nutritional Status and Associated Factors in Northern Province Download Infant and Young Child Feeding training manual This could be used by health care service professionals to train feed staff.
In "Proposed Rule Would Ease Stance on Feeding at Nursing Homes" (news article, Sept. 25), you suggest that nursing home residents will somehow be placed at risk if nursing homes are allowed to hire and train feeding assistants to help out at meal times.
Diffusion rate and Zn doping concentration in diffused layer are characterized by a response model generated by training feed-forward error back-propagation neural networks.
While several alternatives exist for training feed-forward neural networks in such a distributed setting, less attention has been devoted to the case of decentralized training of recurrent neural networks (RNNs).
