An Artificial Neural Network (ANN) can be considered as a classification and as a forecasting technique. Microsoft Neural Network in SQL Server is typically a more sophisticated technique than Decision Trees and Naïve Bayes. This technique tries to simulate how the human brain works. In this te...
In this work, we model a real-time electric power metering approach based on neural networks. A carefully designed artificial neural network (ANN) is trained to recognize the complex optimal operating point of an all-thermal electricity generating utility. A real-time rate is allocated to each ...
An artificial Neural Network (ANN) is a computational model that mimics the way our brain cells work so that computers are able to learn and make decisions as if they were humans. It uses algorithms that independently make adjustments and learn as they receive new inputs. Source:Machine learni...
As you see, technically the steps are same for Linear Regression, Logistic Regression and Neural Network. In Artificial Neural Network the steps towards the direction of blue arrows is named as Forward Propagation and the steps towards the red arrows as Back-Propagation....
artificial neural network (ANN)gas pipelineleakage detectionpattern recognitionwireless sensor network (WSN)In this paper, by using of gas flow pattern, a novel neural network‐based fault detection method is presented to detect the leakage in the gas pipeline. The pipe is divided into four ...
Two soft computing techniques, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), were employed to prognosticate energy indices. Comparison between the best developed structure of each soft computing technique demonstrated that one comprehensive ANN model was preferred than...
artificial neural network (ANN)gas pipelineleakage detectionpattern recognitionwireless sensor network (WSN)In this paper, by using of gas flow pattern, a novel neural network‐based fault detection method is presented to detect the leakage in the gas pipeline. The pipe is divided into four ...
artificial neural network(ANN)and adaptive neuro-fuzzy inference system(ANFIS),were employed to prognosticate energy indices.Comparison between the best developed structure of each soft computing technique demonstrated that one comprehensive ANN model was preferred than two individual ANFIS models.According ...
To overcome this problem, in this paper we propose an approach to combine an Artificial Neural Network (ANN) with Data Mining (DM) tools, specifically with Association Rule (AR) Mining. The combination of these two techniques can now be done using software which can handle large volumes of ...