ARTIFICIAL NEURAL NETWORK APPLICATION TO PREDICT QUALITY CHARACTERISTICS OF PETROLEUM PRODUCTS
نویسندگان
چکیده
منابع مشابه
An application of artificial neural network to maintenance management
This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and man-agement. An ANN model based on the multi-layer perceptron having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.
متن کاملUsing Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns
Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...
متن کاملApplying GMDH artificial neural network to predict dynamic viscosity of an antimicrobial nanofluid
Objective (s): Artificial Neural Networks (ANN) are widely used for predicting systems’ behavior. GMDH is a type of ANNs which has remarkable ability in pattern recognition. The aim the current study is proposing a model to predict dynamic viscosity of silver/water nanofluid which can be used as antimicrobial fluid in several medical purposes.Materials and Methods: In order to have precise mode...
متن کاملArtificial neural network to predict the health risk caused by whole body vibration of mining trucks
Drivers of mining trucks are exposed to whole-body vibrations (WBV) and shocks during the various working cycles. These exposures have an adversely influence on the health, c...
متن کاملApplication of artificial neural network (ANN) for the prediction of water treatment plant influent characteristics
Application of a reliable forecasting model for any water treatment plant (WTP) is essential in order to provide a tool for predicting influent water quality and to form a basis for controlling the operation of the process. This would minimize the operation and analysis costs, and assess the stability of WTP performances. This paper focuses on applying an artificial neural network (ANN) approac...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Современные наукоемкие технологии (Modern High Technologies)
سال: 2020
ISSN: 1812-7320
DOI: 10.17513/snt.37970