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The most common neural complications are those that result from toxic agents such as bacterial toxins, drugs, and other chemicals.
The most common neural target is the subthalamic nucleus, located within the basal ganglia, the region most acutely affected by PD pathology.
One of the most common neural network models is based on multilayer perceptron (MLP).
The most common neural network architecture is the feed-forward neural network.
Neuroblastoma and phaeochromocytoma are the most common neural crest-derived tumours in children and adults, respectively.
Pheochromocytoma and neuroblastoma are the most common neural crest-derived tumors in adults and children, respectively.
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The most common open neural tube defect, myelomeningocele (MMC), is declining in frequency in North America.
According to Anderson [1], the most common used neural network for prediction tasks is the feed-forward network that has at least one hidden layer of neurons.
Adamantinomatous craniopharyngioma (ACP) is the most common non-neural brain tumor with an incidence of approximately 1.9 cases/million patient-years in children [ 1– 3].
This work is particularized to the case of a hyperbolic tangent, the most common function in neural models, showing the excellent results yielded with the proposed approximation.
One of the most common problems in neural network design is the topology and the parameter value accuracy that if those elements selection was correctly and optimally, the designer would achieve better results.
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