application of artificial neural networks in the evaluation of ekbatan wastewater treatment plant
نویسندگان
چکیده
in this study artificial neural network (ann) was used for modeling of wastewater treatment plants with using. for this purpose, the base of the quality parameters measured at the plant input, plant output value was predicted. neural network input data, including temperature (t), biochemical oxygen demand (bod), chemical oxygen demand (cod), total suspended solids (tss), total solids (ts) and ph. different structures of ann with different number of neurons in middle layer, the structure of 6-12-6 with normal values of squared mean square error of 0.26 and the coefficient 0.82 as desired structure can be is proposed. this structure, predicting 72 to 97 percent of the effluent quality parameters, the changes in independent variables has been successful. with the removal of pollutants in the effluent treatment plant, was identified maximum removal efficiency in the plant, the pollutants tss, equivalent to 97 percent and the lowest, compared to 32 percent, ts, respectively. similarly, removal of these pollutants, the estimated values of the neural network, which is due to the 97 and 30 percent, with values close to observations, although the neural network performance is good . overall, the comparison of results predicted in this study with other studies and the statistical indicators, the good performance of neural networks, in this study, to be sure. also, treatment plants in the reduction of qualitative values in based of the values of the standard recommended by the environmental protection agency, the efficiency is high.
منابع مشابه
Application of artificial neural network (ANN) for the prediction of water treatment plant influent characteristics
Application of a reliable forecasting model for any water treatment plant (WTP) is essential in order to provide a tool for predicting influent water quality and to form a basis for controlling the operation of the process. This would minimize the operation and analysis costs, and assess the stability of WTP performances. This paper focuses on applying an artificial neural network (ANN) approac...
متن کاملApplication of Artificial Neural Networks to Estimate Wastewater Treatment Plant Inlet Biochemical Oxygen Demand
Biochemical oxygen demand (BOD) has been shown to be an important variable in water quality management and planning. However, BOD is difficult to measure and needs longer time periods (5 days) to get results. Artificial neural networks (ANNs) are being used increasingly to predict and forecast water resource variables. The objective of this research was to develop an ANNs model to estimate dail...
متن کاملextraction and characterization of allium irancum plant extract and its application in the green synthesis of silver nano particles and oxidation of thiocarbony1 compounds
سنتز سبز نانوذرات فلزی (nps) درسالهای اخیر توجه بسیارزیادی را به خود جلب کرده است. زیرا این پروتوکل کم هزینه وسازگار با محیط زیست از روش های استاندارد سنتز. در این پایان نامه ما گزارش میکنیم یک روش ساده و سازگار با محیط زیست برای سنتز نانوذرات نقره با استفاده از محلول آبی عصاره گیاه allium iranicum به عنوان یک عامل کاهش دهنده ی طبیعی. نانو ذرات نقره مشخص شد با استفاده از تکنیک های uv-visible، x...
Assessment of Spatial Multi-Criteria Decision-Making with Process of the Artificial Neural Networks Method to Site Selection of the Wastewater Treatment Plant (Case Study: Qeshm Island)
Wastewater treatment technology in the cyclic nature of the process that takes a long time. But man tries to rush to their needs with experience and understanding of the natural processes of interaction, and using technology to build their Industrial development is authorized. Sewage treatment reed have been born from the vision of man's increasing need to water daily decreases the natural reso...
متن کاملAssessment of Spatial Multi-Criteria Decision-Making with Process of the Artificial Neural Networks Method to Site Selection of the Wastewater Treatment Plant (Case Study: Qeshm Island)
Wastewater treatment technology in the cyclic nature of the process that takes a long time. But man tries to rush to their needs with experience and understanding of the natural processes of interaction, and using technology to build their Industrial development is authorized. Sewage treatment reed have been born from the vision of man's increasing need to water daily decreases the natural reso...
متن کاملapplication of brand personality scale in automobile industry: the study of samand’s brand personality dimensions
این تحقیق شخصیت برند سمند را در ایران با استفاده از مدل پنج بعدی آکر (1997) بعنوان یک چهارچوب بطور توصیفی سنجیده است. بنابر این چهارچوب که دراصل در 42 جزء (42 ویزگی شخصیتی) ودر پنج بعد شخصیتی طراحی شده بود ودر کشورها وصنایع مختلف آزموده شده بود, پرسنامه به زبان فارسی ترجمه شده و با استفاده از روشهای ترجمه معکوس و مصاحبه عمیق با 12 متخصص ایرانی به 38 جزء کاهش یافت. و نظرسنجی ای در پنج نمایندگی ا...
15 صفحه اولمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
محیط شناسیجلد ۳۸، شماره ۳، صفحات ۸۵-۹۸
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023