Knowledge of machines: review and forward look

Volume1 referees

Following is a list of our colleagues who volunteered to review the manuscripts received to Geopersia during the past 12 months. I appreciate the positive actions that you have taken to participate in reviewing the manuscripts and implementing our recommendations to get the two issues published. We certainly would not be able to continue without your support and I wish to acknowledge your con...

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...

Application of Artificial Neural Networks and Support Vector Machines for carbonate pores size estimation from 3D seismic data

This paper proposes a method for the prediction of pore size values in hydrocarbon reservoirs using 3D seismic data. To this end, an actual carbonate oil field in the south-western part ofIranwas selected. Taking real geological conditions into account, different models of reservoir were constructed for a range of viable pore size values.  Seismic surveying was performed next on these models. F...

A review on recent applications of brushless DC electric machines and their potential in energy saving

Electric motors are the largest consumer of world electric energy, consuming more than twice as much as lighting, the next largest consumer. Electric motors account for between 43 and 46% of all global electricity consumption approximately. They give rise to about 6 040 Mt of CO2 emissions. End‐users approximately spend USD 565 billion per year on electricity [1]. In recent years...

Defining Integrated Knowledge Translation and Moving Forward: A Response to Recent Commentaries