The application of the artificial neural network
for the procedure control is one of the best methods for treating any complex problem by preparing sufficient training data and number of nodes to represent the internal features and relationships that connect input and output variables of automation engineer to construct the controller by himself based on his information and experience in the plant; the training of the artificial neural network
depended on the values of the input variables that affected the number of epochs of the neural network as a result of the hyperbolic tangent function to reduce the training time by using maximum and minimum normalization method between the input and target values as compared with other normalization methods.
Dalhotra, "A research agenda on artificial neural network
topologies & data mining in neural network," International Journal of Data & Network Security, vol.
Caption: Figure 12: Results of artificial neural network
in various ratios for detecting financial fraud.
That study further evaluated a computer-based infrared thermography (IRT) system, which employs artificial neural networks
for the diagnosis of CTS using a large database of 102 patients.
Different artificial neurons gather and make a net of the network that is considered as an artificial neural network
Eltaher Mohamed Hussein et al  proposed Brain Tumor Detection Using Artificial Neural Networks
. That proposed method presented an automated recognition system for MR imaging using Artificial Neural Networks
Two models were proposed using Principal Component Analysis (PCA) and trained by an artificial neural network
(ANN) using Levenberg-Marquardt (LM) algorithm to recognize rubber seed.
Figure 6 shows an industrial process screen in the supervisory system (SCADA), according to the coagulant dosage control and a button with a caption "ANN", wherein the operator is able to turn on the artificial neural network
technique (Figure 7).
Artificial neural network
based modeling of spatial distribution of phosphorus on the tomato area, Asian Journal of Chemistry 21(1): 239-247.
Anderson, "Global solar radiation prediction using artificial neural network
models for New Zealand," in Proceedings of the 52nd Annual Conference, Australian Solar Energy Society, pp.
Ohno-Machado, "A comparison of Cox proportional hazards and artificial neural network
models for medical prognosis," Computers in Biology and Medicine, vol.
An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network
. Fuzzy Sets and Systems, 118, 21-45.