標題: Titlebook: Artificial Neural Networks in Hydrology; R. S. Govindaraju,A. Ramachandra Rao Book 2000 Springer Science+Business Media B.V. 2000 artifici [打印本頁] 作者: finesse 時間: 2025-3-21 18:54
書目名稱Artificial Neural Networks in Hydrology影響因子(影響力)
書目名稱Artificial Neural Networks in Hydrology影響因子(影響力)學(xué)科排名
書目名稱Artificial Neural Networks in Hydrology網(wǎng)絡(luò)公開度
書目名稱Artificial Neural Networks in Hydrology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Neural Networks in Hydrology被引頻次
書目名稱Artificial Neural Networks in Hydrology被引頻次學(xué)科排名
書目名稱Artificial Neural Networks in Hydrology年度引用
書目名稱Artificial Neural Networks in Hydrology年度引用學(xué)科排名
書目名稱Artificial Neural Networks in Hydrology讀者反饋
書目名稱Artificial Neural Networks in Hydrology讀者反饋學(xué)科排名
作者: PLUMP 時間: 2025-3-21 20:14
The metal-insulator transition in Si:P,cal to answering questions posed by management. These questions range from “what are the pathways by which receptors may be exposed to (human or ecological) health risks” to “can I determine from existing measurement data whether a buried facility is failing”.作者: 無節(jié)奏 時間: 2025-3-22 04:12 作者: 笨拙處理 時間: 2025-3-22 05:38 作者: CHOP 時間: 2025-3-22 12:45
Hans Peter Wagner,Hermann Leidererrunoff and storage. The space-time distribution of soil moisture can influence atmospheric system on time scales from several hours to many years. Currently, the most feasible procedure to obtain soil moisture over large areas is through remote sensing.作者: NATTY 時間: 2025-3-22 13:52
Optical characterization of ZnTe epilayers,ly to lakes, rivers and sub-surface moisture storage, which are the primary sources of water supply for plants and animals. Therefore, a better understanding of the temporal and spatial distribution of precipitation is critical to long-term water resources and agricultural system planning.作者: CERE 時間: 2025-3-22 21:01 作者: 彎曲的人 時間: 2025-3-22 21:36 作者: 溝通 時間: 2025-3-23 04:25
Adaptive Neural Networks in Regulation of River Flows,mand for water. One of the ways to conserve water is to estimate the water demand accurately, and provide just the right quantity of water to the users, i.e. match supply with demand as closely as possible.作者: Favorable 時間: 2025-3-23 07:40 作者: mosque 時間: 2025-3-23 10:38
Spatial Organization and Characterization of Soil Physical Properties Using Self-Organizing Maps,runoff and storage. The space-time distribution of soil moisture can influence atmospheric system on time scales from several hours to many years. Currently, the most feasible procedure to obtain soil moisture over large areas is through remote sensing.作者: expansive 時間: 2025-3-23 16:22
Rainfall Estimation from Satellite Imagery,ly to lakes, rivers and sub-surface moisture storage, which are the primary sources of water supply for plants and animals. Therefore, a better understanding of the temporal and spatial distribution of precipitation is critical to long-term water resources and agricultural system planning.作者: CANT 時間: 2025-3-23 18:08
Spatial Analysis of Hydrologic and Environmental Data Based on Artificial Neural Networks, such as transmissivity and hydraulic conductivity, the variation of water quality properties in a lake or reservoir, the spatial distribution of acid rainfall, and the spatial variability of droughts, are only a few examples.作者: 險代理人 時間: 2025-3-24 01:58 作者: fixed-joint 時間: 2025-3-24 03:19 作者: 痛恨 時間: 2025-3-24 08:51
Radial-Basis Function Networks,ing input patterns to be mapped into output patterns. The number of units in the hidden layer, therefore, needs to be sufficiently large so as to span the space in which the interpolation is being performed. A careful design is required to prevent the hidden layer of an RBF network from becoming too large as that can lead to over-fitting.作者: AORTA 時間: 2025-3-24 11:27
Streamflow Data Infilling Techniques Based on Concepts of Groups and Neural Networks,5 percent in the case of oceanic storm surges [Zhang et al. (1997)] . Time series methods, among others, do not tolerate missing observations, and thus numerous data infilling techniques have evolved in various scientific disciplines to deal with incomplete data sets.作者: Optic-Disk 時間: 2025-3-24 16:47 作者: Confirm 時間: 2025-3-24 20:43
https://doi.org/10.1007/BFb0108995 purposes and for real time operation of water resources systems. Forecasts, with lead times ranging from weeks to months, are generally used for water system planning and management, such as allocation of irrigation water, hydropower planning, and drought analysis and mitigation.作者: jungle 時間: 2025-3-25 00:07
Advances in Solid State Physicscipitation, temperature, etc.) of the region. The influence of all these factors is not understood clearly. As a consequence, there exists some skepticism in the use of physically-based models for predicting watershed runoff (Grayson et al., 1992).作者: medieval 時間: 2025-3-25 04:34 作者: 轉(zhuǎn)向 時間: 2025-3-25 11:30
Streamflow Forecasting Based on Artificial Neural Networks, purposes and for real time operation of water resources systems. Forecasts, with lead times ranging from weeks to months, are generally used for water system planning and management, such as allocation of irrigation water, hydropower planning, and drought analysis and mitigation.作者: Inoperable 時間: 2025-3-25 12:24
Modular Neural Networks for Watershed Runoff,cipitation, temperature, etc.) of the region. The influence of all these factors is not understood clearly. As a consequence, there exists some skepticism in the use of physically-based models for predicting watershed runoff (Grayson et al., 1992).作者: 包庇 時間: 2025-3-25 19:35
Book 2000ion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method an作者: tendinitis 時間: 2025-3-25 23:14 作者: craven 時間: 2025-3-26 01:03
https://doi.org/10.1007/BFb0108003r model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion wi作者: 增長 時間: 2025-3-26 04:59
https://doi.org/10.1007/BFb0108003l predictions, power systems, and pattern recognition among others (Kosko, 1992; Refenes et al., 1994; Saund, 1989; Schalkoff, 1992; Suykens et. al. 1996; Vemuri and Rogers 1994). These successes have also inspired applications to water resources and environmental systems (Achela et al., 1998; Chang作者: 寬宏大量 時間: 2025-3-26 10:49 作者: troponins 時間: 2025-3-26 13:28
Advances in Solid State Physicsesources systems. Depending on the lead time, the forecast can be real time, (i.e., near-real time or online), short term and long term. Real time forecasting has applications in operational flood as well as drought management. It can forewarn extreme flood as well as drought conditions, and can hel作者: FEMUR 時間: 2025-3-26 17:36
Advances in Solid State Physicss. Frequent droughts and floods of 1993 in Kansas and other midwestern U.S. are testimonies to the need for good predictive models at the watershed scale. The response of a watershed to precipitation is complicated by various hydrologic components that are distributed within it in a heterogeneous ma作者: enfeeble 時間: 2025-3-27 00:38 作者: 創(chuàng)新 時間: 2025-3-27 01:53 作者: braggadocio 時間: 2025-3-27 08:40
X-ray and neutron scattering at thin films,th groundwater flow and transport modeling to search for efficient groundwater management strategies. This integration of methodologies has often been referred to as simulationmanagement modeling or simulation-optimization groundwater management modeling. The values of the objective function and con作者: 紳士 時間: 2025-3-27 10:50
Ulrich Memmert,Rolf Jürgen Behmof water resources. Judicious utilization and conservation of the available water resources is of paramount importance in order to meet the growing demand for water. One of the ways to conserve water is to estimate the water demand accurately, and provide just the right quantity of water to the user作者: 書法 時間: 2025-3-27 14:03 作者: HARP 時間: 2025-3-27 21:23
Hans Peter Wagner,Hermann Leiderersoil moisture plays an important role in partitioning net incoming radiation into sensible and latent heat fluxes and partitioning precipitation into runoff and storage. The space-time distribution of soil moisture can influence atmospheric system on time scales from several hours to many years. Cur作者: 樹上結(jié)蜜糖 時間: 2025-3-27 23:28
Optical characterization of ZnTe epilayers, over the tropical oceans is a primary source of the energy modulating the dynamics of the atmosphere. Over the land, precipitation contributes directly to lakes, rivers and sub-surface moisture storage, which are the primary sources of water supply for plants and animals. Therefore, a better unders作者: Physiatrist 時間: 2025-3-28 02:21 作者: 解開 時間: 2025-3-28 09:46
C. Chapelier,D. Mailly,A. Benoitn to geophysicists for many decades. For instance, the spatial characterization of rainfall, the variability of parameters describing groundwater flow such as transmissivity and hydraulic conductivity, the variation of water quality properties in a lake or reservoir, the spatial distribution of acid作者: 顛簸地移動 時間: 2025-3-28 12:48
J. H. Werner,R. Bergmann,R. Brendel suggests that we are entering a’Golden Age’ of water quality modeling in which surface water models will make significant contributions towards fuller diagnosis of problems, uncovering surprises, providing a framework for decision-making and lessening future conflicts between environmental interest作者: 小淡水魚 時間: 2025-3-28 18:13 作者: 哺乳動物 時間: 2025-3-28 20:04 作者: 龍蝦 時間: 2025-3-29 00:37 作者: fallible 時間: 2025-3-29 03:15
J. H. Werner,R. Bergmann,R. Brendel application of ANNs to long range precipitation prediction in California using large-scale climatological parameters. In addition, a determination will be made about extracting information from the trained network in order to learn how the ANN’s “thinking” produces the prediction.作者: 發(fā)展 時間: 2025-3-29 09:34
https://doi.org/10.1007/978-94-015-9341-0artificial neural network; groundwater; hydrology; learning; linear optimization; modeling; network; neural作者: adjacent 時間: 2025-3-29 12:06 作者: 的是兄弟 時間: 2025-3-29 18:01
https://doi.org/10.1007/BFb0108003onal means. This chapter addresses some issues related to the training of the class of ANNs known as Multi-layer Feedforward Neural Networks (MFNN) which are most commonly used in streamflow forecasting applications. We also present results illustrating the applicability of properly trained MFNNs in作者: 手勢 時間: 2025-3-29 23:31 作者: 邊緣帶來墨水 時間: 2025-3-30 00:05 作者: Myocarditis 時間: 2025-3-30 06:54 作者: cancer 時間: 2025-3-30 09:31 作者: Exclude 時間: 2025-3-30 16:09 作者: dagger 時間: 2025-3-30 18:36
Optimal Groundwater Remediation Using Artificial Neural Networks,ment or control strategies possibilities for ones that meet management goals while minimizing cost. The main advantage of applying these mathematical tools to decision-making problems is that they are less restricted by human imagination than case-by-case comparisons. As the number of competing engi作者: 記成螞蟻 時間: 2025-3-30 22:44
Application of Artificial Neural Networks to Forecasting of Surface Water Quality Variables: Issuesbe based, where possible, on relationships that have a physical basis. Recently, artificial neural networks (ANNs) have emerged as alternatives to traditional statistical models in a variety of fields, including water quality modeling.作者: 混合物 時間: 2025-3-31 04:26
Book 2000all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the 作者: 后退 時間: 2025-3-31 08:35 作者: maudtin 時間: 2025-3-31 09:28
Introduction,r model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion wi作者: 針葉 時間: 2025-3-31 14:14
