artificial neural network


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artificial neural network

(ar-ti-fish'ăl nū'răl net'wŏrk),
a computer-based decision-making system for complex data sets comprising processor nodes interconnected in a weighted fashion, simulating a biologic nervous system.
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2006, Artificial neural networks in energy applications in buildings International, Volume 1, Number 3, 201-216(16).
An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng/ml or less.
This study proposes an alternative approach to solving areal interpolation problems by using artificial neural networks.
Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fentom reaction.
Artificial Neural Networks are being widely used in the classification problems.
For the validation process, the unbalance responses of the system are used as inputs and the correction masses are the outputs of the artificial neural network.
The developed artificial neural network model should only be applied in estimating corrosion behaviour of the same alumina ceramics, in similar concentrations of HCl aqueous solution, and for immersion times within the time interval used in this research.
Artificial neural network modeling of stress single-photon emission computed tomographic imaging for detecting extensive coronary artery disease.
In this study eight different modeling methods have been used in order to estimate the total tree bole volume of three species from Mediterranean region of Turkey: (a) the paracone method, (b) the centroid method, (c) the Huber's formula, (d) the local volume tables, (e) the conventional importance sampling, (f) the control variate method using one and two measurement points, and (g) the artificial neural network methodology.
The synaptic process, modeled mathematically, serves as the theoretical basis for artificial neural networks.
The most common type of artificial neural network consists of three groups, or layers, of units: a layer of "input" units is connected to a layer of "hidden" units, which is connected to a layer of "output" units.

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