Risk of Gaseous Release Assessment Based on Artificial Intelligence Methods
نویسندگان
چکیده
Based only on current pollutant measured concentrations and atmospheric parameters the paper presents a novel procedure able to predict pollutant emission concentrations and to estimate the risk of pollution. Instead of deterministic or probabilistic methods, cumbersome regression analysis or physical models, a minimax decision procedure based on support vector machine in a minimax approach implemented in MATLAB object oriented language, was utilised. This procedure can perform highly complex mappings on nonlinearly related data, inferring subtle relationships between inputs and outputs. Numerical experiments were reported to gaseous emissions of pollutant sulphur dioxide from a thermo power station smokestack.
منابع مشابه
Rating the Actual Customers of Banks based on Credit Risk using Multiple Criteria Decision Making and Artificial Intelligence Hyperbolic Regression
This study wants to investigate the rating of the actual customers of banks based on credit risk using multiple criteria decision making and artificial intelligence hyperbolic regression. This is an applied research. The statistical population of the study includes the credit customers of Agriculture Bank in west branches of Mazandaran province, Iran in 2012-2016. A total of 100 cases have been...
متن کاملArtificial Intelligence Approach Analyzing Management Ability Based on Accounting and Corporate Governance Criteria
The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also artificial intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accounting variables (performance and risk criteria). We took advantage of Demirjian index to measure mana...
متن کاملAn Overview of the Artificial Intelligence Applications in Identifying and Combating the Covid-19 Pandemic
Intruduction: In late 2019, people around the world became infected with Covid-19 by the outbreak, the pandemy and epidemy of this disease. To this end, researchers in various fields are seeking to find solutions to the problems related to the control and management of crises. The transmission power of the new corona virus has drawn the attention of experts in the use of artificial intelligence...
متن کاملThe Combinational Use Of Knowledge-Based Methods and Morphological Image Processing in Color Image Face Detection
The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...
متن کاملA Review on Applications of Haptic Systems, Virtual Reality, and Artificial Intelligence in Medical Training in COVID-19 Pandemic
This paper presents a survey on haptic technology, virtual reality, and artificial intelligence applications in medical training during the COVID-19 pandemic. Over the last few decades, there has been a great deal of interest in using new technologies to establish capable approaches for medical training purposes. These methods are intended to minimize surgerychr('39')s adverse effects, mostly w...
متن کامل