Titlebook: Computational Intelligence Techniques in Earth and Environmental Sciences; Tanvir Islam,Prashant K. Srivastava,Saumitra Mukhe Book 2014 Sp

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书目名称Computational Intelligence Techniques in Earth and Environmental Sciences影响因子(影响力)




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences影响因子(影响力)学科排名




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences网络公开度




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences网络公开度学科排名




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences被引频次




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences被引频次学科排名




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences年度引用




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences年度引用学科排名




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences读者反馈




书目名称Computational Intelligence Techniques in Earth and Environmental Sciences读者反馈学科排名

nascent

978-94-024-0239-1Springer Science+Business Media Dordrecht 2014

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CONE

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ARBOR

https://doi.org/10.1007/978-3-031-40147-3. It is used to help study problems that are difficult to solve using conventional computational algorithms. Neural networks, evolutionary computation, and fuzzy systems are the three main pillars of computational intelligence. More recently, emerging areas such as swarm intelligence, artificial imm

avulsion

avulsion

Restorying Trauma: Child Sexual Abuse,ndall trend test, seasonal Mann–Kendall trend test, and Sen’s slope estimator. .-means clustering algorithm was used to identify the rainfall distribution patterns over the years and also their changes with time. A comparative analysis was done among different time series prediction models to find o

的是兄弟

Stories, Storytellers, and Storytellingnge is higher than that of other variables. The purpose of the present study was to build an appropriate model to forecast the monthly maximum temperature of Rajshahi district in Bangladesh. The Box–Jenkins modeling strategy was performed using EViews software. This strategy was performed using the

逃避系列单词

https://doi.org/10.1007/978-94-017-3089-1udy was to provide tolerance limit for people and interventions required to protect individuals from the dangerous consequences of heat. The meteorological data collected from Indian Meteorological Department of Ahmedabad (2001–2011) was used for estimating the WBGT. Multiple regression analysis was

CLIFF

Storing Clocked Programs Inside DNAssociated with rainfall variability and can be reflected by soil moisture deficit that significantly affects crop performance and yield. In the present study, an analysis of long-term (1971–2010) rainfall data of 12 rain monitoring stations in the Barind region was carried out using a Markov chain m