Prediction of Mechanical Availability in Mechanized Eucalyptus Forest Harvesting Using Artificial Neural Networks

Prediction of Gas Lift Parameters Using Artificial Neural Networks

prediction of non-wood forest products trade using artificial neural networks

wood and non-wood resources in the forests have occupied a very important place in human’s life, since the advent of history. and today, developing technology along with increasing needs enhance the importance of the other functions of forests, in parallel with wood production. both in the world and as well in turkey, one of the featured functions of forests is the production of non-woodforest ...

Availability Prediction of the Repairable Equipment using Artificial Neural Network and Time Series Models

In this paper, one of the most important criterion in public services quality named availability is evaluated by using artificial neural network (ANN). In addition, the availability values are predicted for future periods by using exponential weighted moving average (EWMA) scheme and some time series models (TSM) including autoregressive (AR), moving average (MA) and autoregressive moving avera...

Prediction of Permanent Earthquake-Induced Deformation in Earth Dams and Embankments Using Artificial Neural Networks

This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and embankments. For this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. In order to predict earthquake-induced deformation o...

Prediction of Blasting Cost in Limestone Mines Using Gene Expression Programming Model and Artificial Neural Networks

The use of blasting cost (BC) prediction to achieve optimal fragmentation is necessary in order to control the adverse consequences of blasting such as fly rock, ground vibration, and air blast in open-pit mines. In this research work, BC is predicted through collecting 146 blasting data from six limestone mines in Iran using the artificial neural networks (ANNs), gene expression programming (G...