A NEW FRAMEWORK FOR GEOSPATIAL SITE SELECTION USING ARTIFICIAL NEURAL NETWORKS AS DECISION RULES: A CASE STUDY ON LANDFILL SITES

A NEW FRAMEWORK FOR GEOSPATIAL SITE SELECTION USING ARTIFICIAL NEURAL NETWORKS AS DECISION RULES: A CASE STUDY ON LANDFILL SITES

This paper briefly introduced the theory and framework of geospatial site selection (GSS) and PABA discussed the application and framework of artificial neural networks (ANNs).The related literature on the use of ANNs as decision rules in GSS is scarce from 2000 till 2015.As this study found, ANNs are not only adaptable to dynamic changes but also

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Ethical and Legal Considerations of Healthcare Informatics

Internet, cloud computing, social networks and mobile technology, all facilitate information transfer.Healthcare professionals, physicians and patients can use informatic devices in order to simplify their access to medical information, to streamline testing, and to understand clinical results.The use of computers and software facilitate doctor-pat

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Comparative Chloroplast Genome Analysis of Rhubarb Botanical Origins and the Development of Specific Identification Markers

Rhubarb is an important ingredient in traditional Chinese medicine known as Rhei radix et rhizome.However, this common name refers to three different botanical species with different pharmacological effects.To facilitate the genetic identification of these three species for their more precise application in Chinese medicine we here want to provide

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