標(biāo)題: Titlebook: Computational Intelligence Techniques in Earth and Environmental Sciences; Tanvir Islam,Prashant K. Srivastava,Saumitra Mukhe Book 2014 Sp [打印本頁] 作者: 使固定 時(shí)間: 2025-3-21 17:05
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences影響因子(影響力)
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences影響因子(影響力)學(xué)科排名
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences網(wǎng)絡(luò)公開度
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences被引頻次
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences被引頻次學(xué)科排名
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences年度引用
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences年度引用學(xué)科排名
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences讀者反饋
書目名稱Computational Intelligence Techniques in Earth and Environmental Sciences讀者反饋學(xué)科排名
作者: nascent 時(shí)間: 2025-3-21 23:15
978-94-024-0239-1Springer Science+Business Media Dordrecht 2014作者: Lucubrate 時(shí)間: 2025-3-22 01:44 作者: CONE 時(shí)間: 2025-3-22 05:10
http://image.papertrans.cn/c/image/232411.jpg作者: ARBOR 時(shí)間: 2025-3-22 11:08
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作者: avulsion 時(shí)間: 2025-3-22 16:28 作者: avulsion 時(shí)間: 2025-3-22 17:14
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作者: 的是兄弟 時(shí)間: 2025-3-23 01:09
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 作者: 逃避系列單詞 時(shí)間: 2025-3-23 03:43
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作者: CLIFF 時(shí)間: 2025-3-23 05:43
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作者: ALIEN 時(shí)間: 2025-3-23 10:35 作者: 鳥籠 時(shí)間: 2025-3-23 15:37 作者: Pulmonary-Veins 時(shí)間: 2025-3-23 20:47 作者: 故意釣到白楊 時(shí)間: 2025-3-23 23:08
The Entropy as a Measure of Uncertaintys section. Fuzzy genetic models are improved by combining two methods, fuzzy logic and genetic algorithms. The accuracy of fuzzy genetic models was compared with those of the adaptive network-based fuzzy inference system, multilayer perceptrons, and sediment rating curve models. The daily streamflow作者: 訓(xùn)誡 時(shí)間: 2025-3-24 02:42 作者: GROWL 時(shí)間: 2025-3-24 08:40
,Gerichtliche L?schungsklage eines Dritten,, there is an increasing interest toward data-driven black box models. In recent decades artificial neural network (ANN) as a branch of artificial intelligence method has proved its efficiency in providing accurate results to model hydrologic processes, which subsequently leads to provide important 作者: 鬧劇 時(shí)間: 2025-3-24 11:33
Lecture Notes in Earth Scienceslogical models and to compare the relative performance of alternative models in a particular modelling scenario. A major drawback of those traditional indices is that they are based on only one modelling attribute, i.e. the modelling error. This study has identified an overall model utility index as作者: 無價(jià)值 時(shí)間: 2025-3-24 17:02 作者: 鋪?zhàn)?nbsp; 時(shí)間: 2025-3-24 21:43 作者: discord 時(shí)間: 2025-3-25 00:01
ience oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scien978-94-024-0239-1978-94-017-8642-3作者: 冰雹 時(shí)間: 2025-3-25 04:41 作者: ALLAY 時(shí)間: 2025-3-25 08:59
Stories, Storytellers, and Storytellingvariation using the resistant smoothing method, 4253H-twice. The SARMA(2, 1)(1, 2). model was found to be the most appropriate model for forecasting. The fitted model is also stable with no structural change and thus applicable for forecasting and policy purposes. Finally, this model was used for fo作者: Alcove 時(shí)間: 2025-3-25 12:27 作者: 羽毛長成 時(shí)間: 2025-3-25 16:38 作者: Gnrh670 時(shí)間: 2025-3-25 22:02
,Gerichtliche L?schungsklage eines Dritten, In this way, noise reduction of data using an appropriate de-noising scheme may lead to a better performance in the application of the data-driven ANN model. Thereupon, in this chapter, the ANN-based hydrological models (i.e., stream-flow and sediment) were developed by focusing on wavelet-based gl作者: d-limonene 時(shí)間: 2025-3-26 00:33 作者: DOLT 時(shí)間: 2025-3-26 08:14 作者: 食料 時(shí)間: 2025-3-26 09:50
Vector Autoregression (VAR) Modeling and Forecasting of Temperature, Humidity, and Cloud Coverage C.W.J. Granger. The order of the VAR model was selected using Akaike information criterion, Schwarz information criteria, Hannan–Quinn information criteria, final prediction error, and likelihood ratio test. The ordinary least square method was used to estimate the parameters of the model. The VAR(作者: 遭遇 時(shí)間: 2025-3-26 14:04 作者: narcotic 時(shí)間: 2025-3-26 18:14 作者: 拘留 時(shí)間: 2025-3-26 23:33 作者: 排名真古怪 時(shí)間: 2025-3-27 03:58 作者: 提升 時(shí)間: 2025-3-27 07:44 作者: 欄桿 時(shí)間: 2025-3-27 11:12
Computational Intelligence Techniques and Applications. 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作者: OREX 時(shí)間: 2025-3-27 13:36 作者: 提名 時(shí)間: 2025-3-27 17:52 作者: Negligible 時(shí)間: 2025-3-28 01:07
Time Series Model Building and Forecasting on Maximum Temperature Datange 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 作者: CLAMP 時(shí)間: 2025-3-28 03:02 作者: Lamina 時(shí)間: 2025-3-28 06:23 作者: Benign 時(shí)間: 2025-3-28 11:50 作者: 動脈 時(shí)間: 2025-3-28 14:38 作者: Compass 時(shí)間: 2025-3-28 22:33
Analysis of Inter-Annual Climate Variability Using Discrete Wavelet Transformrent climate signals using discrete wavelet transform (DWT). The annual cycle is considered as higher energy trend in a climate signal and separated by implementing a threshold-driven filtering technique. The fractional Gaussian noise (fGn) is used here as a reference signal to determine adaptive th作者: harangue 時(shí)間: 2025-3-28 23:21 作者: 全等 時(shí)間: 2025-3-29 05:24 作者: 減弱不好 時(shí)間: 2025-3-29 11:17 作者: Palpable 時(shí)間: 2025-3-29 12:33
Evaluation of Mathematical Models with Utility Index: A Case Study from Hydrologylogical models and to compare the relative performance of alternative models in a particular modelling scenario. A major drawback of those traditional indices is that they are based on only one modelling attribute, i.e. the modelling error. This study has identified an overall model utility index as作者: 遵循的規(guī)范 時(shí)間: 2025-3-29 16:43
Book 2014or their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artifici作者: acclimate 時(shí)間: 2025-3-29 20:14 作者: 呼吸 時(shí)間: 2025-3-30 00:29 作者: 學(xué)術(shù)討論會 時(shí)間: 2025-3-30 05:56
Computational Intelligence Techniques and Applicationsues. This chapter aims to present an overview of computational intelligence techniques and their applications, focusing on five representative techniques, including neural networks, evolutionary computation, fuzzy systems, swarm intelligence, and AIS.作者: 圣人 時(shí)間: 2025-3-30 10:55
Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach), operated by the US Geological Survey were used as case studies. The root mean square errors and determination coefficient statistics were used for evaluating the accuracy of the models. The comparison results revealed that the fuzzy genetic approach performed better than the other models in the estimation of the SSC.作者: Factorable 時(shí)間: 2025-3-30 12:53
Restorying Trauma: Child Sexual Abuse,emperature during December to January in Bangladesh. There has been seen no significant change in rainfall over the years. However on the western side of the country, the amount of rain is significantly less than the eastern side. The study found that different prediction models were appropriate for different conditions.
