Landfill sites suitability mapping utilizing artificial neural network - Image 1

£65.00

LAP Lambert Academic Publishing Landfill sites suitability mapping utilizing artificial neural network

Name: Landfill sites suitability mapping utilizing artificial neural network
Brand: LAP Lambert Academic Publishing
Price: 65.0 GBP
Availability: InStock

Higher Education

Price data last checked 11 day(s) ago - will refresh soon

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£65 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 80 days · 80 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 80 days • 1 price levels

Days at Price

Price Analysis

Most common price: £65 (80 days, 100.0%)

Price range: £65 - £65

Price levels: 1 different prices over 80 days

Description

It is very crucial to have a precise suitability mapping workflow for new landfill sites in the development planning of municipal solid waste management systems. An appropriate siting of landfill sites will protect both environment and public health. However, the complexity in the process of suitability mapping that arises from the attempt to integrate information or decisions from different disciplines has affected the results and leads to an inefficient landfill siting model. In this study, the enhancement of the Landfill sites suitability mapping model was constructed to serve four purposes; (1) new workflow in creating suitability maps at the regional scale for solid waste planning based on neural network (NN); 2) a hybrid network that combines layer-recurrent network and cascade forward neural network to achieve high performance without requiring prior human knowledge; 3) a methodology for selecting the relevant input criteria for landfill GIS model based on multivariate analysis (MVA) methods for maximal performance; and 4) automating an ArcGIS neural network spatial data mining toolbox for mapping the suitability of landfill sites at a regional scale. A case study on landfill s

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6204202901
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Education > Higher Education
Domain: Amazon UK
Release Date: 07 September 2021
Listed Since: 08 October 2021

Barcode

No barcode data available

LAP Lambert Academic Publishing Landfill sites suitability mapping utilizing artificial neural network

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING": Microwave Remote Sensing, Satellites, Artificial Neural Networks & Speckle Reduction: Concepts and Applications

Potential Greenhouse Gas Emission Reduction from Municipal Solid Waste: A Clean Development Mechanism Perspectives

Geotechnical and hydrogeological evaluation of a dumpsite: Environmental assessment of a dumpsite in Ibadan Southwestern Nigeria

Geospatial Technologies & Environment: Environmental Monitoring and Assessment

Remote Sensing Intelligent Interpretation for Mine Geological Environment: From Land Use and Land Cover Perspective

The use of Tropical Soils as Hydraulic Barrier: Abandoned dumpsite soil Lateritic soil Waste Containment structure Hydraulic barrier

Solid Waste Landfilling: Concepts, Processes, Technology

Sustainable Solid Waste Management for city of Ahmedabad, India: A Backcasting study for future policy packages

ESTIMATION OF SOIL LOSS AND RUNOFF FOR WATERSHED USING RS AND GIS

Landfill Leachate Management

Geo-Environmental Assessment and Landuse Planning for Coastal Plains: Geo-Environmental Assessment and Integrated Landuse Planning for Arid Coastal Plains, Using Remote Sensing and GIS

Analytical Models for Stress-Strain Response of FRS and MSW: Fiber Reinforced Soil and Municipal Solid Waste

Harnessing AI in Geospatial Technology for Environmental Monitoring and Management (Advances in Geospatial Technologies)

Эколого-геологическая оценка территории полигонов бытовых отходов

Advanced Image Processing Techniques for Land Feature Classification: Classification of Semi-Urban Land Use/ Land Cover Features in High Resolution RS Data

Site Selection of Windmills Turbine Utilizing GIS Techniques: Study for Iraq Region

Geophysical Investigation Of solid waste dumpsite,Kaduna. Nigeria: Geoelectric method in delineating soil and groundwater contamination

Land use Land cover Change Modeling for Pune: Spatial Modeling with Cellular Automata and Multi Criteria Approach

Use of Scrap Tire Shreds as a Potential Leachate Collection Medium: A Sustainable Approach to Waste Management

Anaerobic Treatment of Municipal Solid Waste Leachate: Descriptive study of MSW leachate treatment in various anaerobic reactors & combined treatment by membrane technology

Stochastic Disaggregation Modelling of Rainfall series: Application of Artificial Neural Network to Disaggregation of Rainfall Time Series

Impact of MSW leachate on the Ground Water: A case study of dumpsites at Vijayawada City in Andhra Pradesh, India

Land Subsidence Induced by the Engineering-Environmental Effect

Advanced Geospatial Practices in Natural Environment Resource Management