Sentence examples for grade estimation from inspiring English sources

A number of case studies have been carried out using the new ore grade estimation method.

The nonlinear ore grade estimation method combining the properties of the wavelet transform and the advantages of Artificial Neural Networks (ANNs) provides fast and reliable ore grade estimation, with minimum assumptions and minimum requirements for modeling skills.

Ore grade estimation is one of the most key and complicated aspects in the evaluation of a mineral deposit.

In this paper, a soft methodology, which is artificial neural network (ANN) based fuzzy modelling is presented for grade estimation and its stages are demonstrated.

This paper introduces a new nonlinear and adaptive method to the problem of ore grade estimation, which is based on the Wavelet Neural Network (WNN) approach, and is designed to receive drill hole information from an orebody and perform ore grade estimation on a block model basis.

The results obtained and the overall functionality of the method prove that Wavelet Neural Networks can offer a fast and robust grade estimation technique and a valid alternative to well established methodologies in this area.

In the synthetic case, five additional boreholes were designated based on high grade and estimation error objectives that intersect two parts of the ore body.

A flanking section was haematoxylin and eosin (HE) stained for histological purposes, e.g. grading and estimation of percentage of tumor cells.

In this paper, essential amount of drilling for reaching an acceptable confidence level of grade and tonnage estimation has been investigated.

These estimations depend on number of samplestaken from exploration drilling; therefore, it is necessary to determine the proper amount of drilling to reach rational confidence level of grade and tonnage estimation.

(Grade 1C) Visual estimation of the amount of blood loss at the scene of trauma can provide important information, but may be highly influenced by physiologic parameters suggesting normo or hypovolaemia [ 52].