neural network

Data classification of spectrum analysis using neural network

This article provides the comparison of libraries neural networks. Based on this analysis was determined to develop a neural network for classification of spectra based on Encog library, because it implemented many components and gives the best result with a small number of items for training. Showed the architecture of neural networks for data classification of spectral analysis.

Study of the hamming network efficiency for the sucker-rod oil pumping unit status identification

The oil extraction process requires continuous monitoring of the oil well equipment operation. One of the most effective methods of the on-line control of sucker-rod pumps operation is obtaining information from the force sensor in the polished rod or the current sensor of the pump jack driving motor. In many cases, timely troubleshooting and preventive repair allow saving large costs.

About some design principles of information-retrieval system and processing of electronic documents in internet

The paper analyzes the main trends of search the basic direction and identifying the priority of electronic documents handling in the Internet. The technical principles of construction of information retrieval system and ability to use linguistic processor and neural networks for solving problems determining the importance of consideration the input documents were grounded. The object of the study was the decision support systems designed to determine priority of review incoming documents.

ANN-Based Short-Term Wastewater Flow Prediction for Better WWTP Control

This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.