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artificial intelligence

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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.

Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design

Dalhotra, "A research agenda on artificial neural network topologies & data mining in neural network," International Journal of Data & Network Security, vol.

Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

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.

Evaluation of several classification methods in carpal tunnel syndrome

Different artificial neurons gather and make a net of the network that is considered as an artificial neural network (table 6).

THE ARTIFICIAL NEURAL NETWORK METHOD: A PRACTICAL GUIDE FOR BUSINESS RESEARCH

Eltaher Mohamed Hussein et al [4] proposed Brain Tumor Detection Using Artificial Neural Networks. That proposed method presented an automated recognition system for MR imaging using Artificial Neural Networks (ANNs).

A detailed survey on brain tumor detection and classification systems based on features and classifiers

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.

IDENTIFICATION OF DORSAL AND VENTRAL SURFACE OF RUBBER SEED USING IMAGE PROCESSING AND MACHINE LEARNING APPROACH

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).

Intelligent system for improving dosage control/Inteligencia artificial aplicada ao controle da dosagem de coagulante em plantas de tratamento de agua

Artificial neural network based modeling of spatial distribution of phosphorus on the tomato area, Asian Journal of Chemistry 21(1): 239-247.

Prediction of and experimental study on cutting force of austempered vermicular graphite cast iron using artificial neural network

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.

Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks

Ohno-Machado, "A comparison of Cox proportional hazards and artificial neural network models for medical prognosis," Computers in Biology and Medicine, vol.

Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks

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.

Stock market index prediction using artificial neural network/Prediccion del indice del mercado bursatil utilizando una red neuronal artificial