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APPLICATIONS OF NEURAL NETWORKS IN ENVIRONMENT, ENERGY AND HEALTH – PROCEEDINGS OF THE 1995 WORKSHOP ON THE ENVIRONMENT AND ENERGY APPLICATIONS OF NEURAL NETWORKS
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APPLICATIONS OF NEURAL NETWORKS IN ENVIRONMENT, ENERGY AND HEALTH – PROCEEDINGS OF THE 1995 WORKSHOP ON THE ENVIRONMENT AND ENERGY APPLICATIONS OF NEURAL NETWORKS
A introductory fragment is available
Language of a book: Английский
Publisher: Gardners Books

    This book contains the proceedings of the Workshop on Environmental and Energy Applications of Neural Networks. The purpose of this workshop was to provide a forum for discussing environmental, energy, and biomedical applications of neural networks. The applications covered in these proceedings include modeling and predicting soil, air and water pollution; waste reduction; environmental sensing; spectroscopy; hazardous waste handling and cleanup; environmental monitoring of power plants; process monitoring and optimization of power systems; modeling and control of power plants; power load forecasting; fault location and diagnosis of power systems; medical image and signal analysis; medical diagnosis; analysis of environmental health effects; health insurance, and modeling biological systems.Contents:Neural Network Models: Insights and Prescriptions from Practical ApplicationsPrediction Horizon Effects on Stochastic Modeling Hints for Neural NetworksNeural Network Analysis for Hazardous Waste CharacterizationNeural Networks for Nuclear SpectroscopyNeural Network Utility in Nondestructive Transuranic Waste Assay, Initial InvestigationsApplication of Neural Networks to Determine Moisture Content on Humidity–Attenuated Near Infrared SpectraFluorescent Diagnostics of Organic Pollution in Natural Walters: A Neural Network Approach; Reliability and Risk Analysis Using Artificial Neural NetworksElectronic Noses and Their Applications in Environmental MonitoringApplication of Computational Neural Networks in Predicting Atmospheric Pollutant Concentrations Due to Fossil–Fired Electric Power Generationand other papers.Readership: Researchers in neural networks.Key Features:Integrating the various disciplines of Qualitative and Quantitative Methods in Libraries, the book adopts a conceptual framework that integrates the process of organizing information and the application of the methodsResearch papers and applications from all over the worldIt is a basis for teaching and research, for practical projects and further possible collaborations

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