احمد آریافر
دانشگاه بیرجند
[ 1 ] - مطالعات ژئوفیزیک و ژئوشیمی زیست محیطی جهت بررسی اثرات آلایندگی پساب کارخانه فراوری معدن مس قلعه زری، خراسان جنوبی
روش‌های ژئوفیزیکی و ژئوشیمیایی به طور چشمگیری برای کنترل و بررسی آلودگی‌های زیست محیطی به کار گرفته شده‌اند. هدف اصلی این تحقیق مطالعه نحوه انباشت فلزات سنگین در خاک و همچنین تعیین عمق نفوذ پساب کارخانه فرآوری معدن مس قلعه زری که در 180 کیلومتری جنوب غربی بیرجند واقع شده می باشد. برای تعیین عمق نفوذ پساب روش توموگرافی دو بعدی بکار گرفته شده است. بر اساس این روش یک پروفیل به طول520 متر عمود بر م...
[ 2 ] - Utilization of Soft Computing for Evaluating the Performance of Stone Sawing Machines, Iranian Quarries
The escalating construction industry has led to a drastic increase in the dimension stone demand in the construction, mining and industry sectors. Assessment and investigation of mining projects and stone processing plants such as sawing machines is necessary to manage and respond to the sawing performance; hence, the soft computing techniques were considered as a challenging task due to stocha...
[ 3 ] - Estimation of the Ampere Consumption of Dimension Stone Sawing Machine Using of Artificial Neural Networks
Nowadays, estimating the ampere consumption and achieve to the optimum condition from the perspective of energy consumption is one of the most important steps to reduce the production costs. In this research it is tried to develop an accurate model for estimating the ampere consumption by using the artificial neural networks (ANN).In the first step, experimental studies were carried out on 7 ca...
[ 4 ] - Application of continuous restricted Boltzmann machine to detect multivariate anomalies from stream sediment geochemical data, Korit, East of Iran
Anomaly separation using stream sediment geochemical data has an essential role in regional exploration. Many different techniques have been proposed to distinguish anomalous from study area. In this research, a continuous restricted Boltzmann machine (CRBM), which is a generative stochastic artificial neural network, was used to recognize the mineral potential area in Korit 1:100000 sheet, loc...
[ 5 ] - CRFA-CRBM: a hybrid technique for anomaly recognition in regional geochemical exploration; case study: Dehsalm area, east of Iran
Identification of geochemical anomalies is a significant step during regional geochemical exploration. In this matter, new techniques have been developed based on deep learning networks. These simple-structure-networks act like our brains on processing the data by simulating deep layers of thinking. In this paper, a hybrid compositional-deep learning technique was applied to identify the anomal...
نویسندگان همکار