Special Statistical Properties of Neural Network

The Prediction of the Tensile Strength of Sandstones from their petrographical properties using regression analysis and artificial neural network

This study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from Kouzestan province. The regression analyses as well as artificial neural network (ANN) are also applied to evaluatethe correlations. The results of simple regression analyses show no correlation between mineralogical features and tensile strength.However,...

PVT Properties of Pure Lubricants Using Equations of State and Artificial Intelligence

Statistical mechanical and artificial intelligence models are developed to predict the volumetric properties of lubricants under different conditions. It is shown that the knowledge of just liquid density at room temperature is satisfactory to approximate the PVT properties of pure lubricants in various conditions. As well, the performance of an artificial neural network (ANN) based on back pro...

Pattern Recognition in Control Chart Using Neural Network based on a New Statistical Feature

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...

Modeling the Properties of Core-Compact Spun Yarn Using Artificial Neural Network

Neural Network Modelling of Optimal Robot Movement Using Branch and Bound Tree

In this paper a discrete competitive neural network is introduced to calculate the optimal robot arm movements for processing a considered commitment of tasks, using the branch and bound methodology. A special method based on the branch and bound methodology, modified with a travelling path for adapting in the neural network, is introduced. The main neural network of the system consists of diff...