標(biāo)題: Titlebook: Advances in Neural Network Research and Applications; Zhigang Zeng,Jun Wang Book 2010 Springer Berlin Heidelberg 2010 Transport.cognition. [打印本頁(yè)] 作者: 故障 時(shí)間: 2025-3-21 16:28
書目名稱Advances in Neural Network Research and Applications影響因子(影響力)
書目名稱Advances in Neural Network Research and Applications影響因子(影響力)學(xué)科排名
書目名稱Advances in Neural Network Research and Applications網(wǎng)絡(luò)公開度
書目名稱Advances in Neural Network Research and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Neural Network Research and Applications被引頻次
書目名稱Advances in Neural Network Research and Applications被引頻次學(xué)科排名
書目名稱Advances in Neural Network Research and Applications年度引用
書目名稱Advances in Neural Network Research and Applications年度引用學(xué)科排名
書目名稱Advances in Neural Network Research and Applications讀者反饋
書目名稱Advances in Neural Network Research and Applications讀者反饋學(xué)科排名
作者: 上下連貫 時(shí)間: 2025-3-21 23:44
The Study of Forecasting Model of Rock Burst for Acoustic Emission Based on BP Neural Network and Caund rechtlichen Debatte, insbesondere im Zusammenhang mit Fragen der Bew?ltigung einer sich ausbreitenden, von zunehmender Verknappung und Verschmutzung verfügbarer Sü?wasservorr?te gekennzeichneten, globalen Wasserkrise nicht mehr wegdenken. Das Menschenrecht begegnet der individuellen Dimension de作者: aquatic 時(shí)間: 2025-3-22 03:47 作者: indicate 時(shí)間: 2025-3-22 04:40 作者: 膽小懦夫 時(shí)間: 2025-3-22 12:47 作者: 持續(xù) 時(shí)間: 2025-3-22 13:15
Financial Distress Prediction Model via GreyART Network and Grey Modeln von M?dchen und Frauen als Zurichtung zur “Weiblichkeit” aufgrund entsprechender gesellschaftlicher Ideologien, aufgrund patriarchaler Macht, die vor allem als Unterdrückungsmacht definiert wurde — eine Blickrichtung also, die die in allen gesellschaftlichen Bereichen “ohn-m?chtigen” Frauen zum Op作者: PTCA635 時(shí)間: 2025-3-22 19:18 作者: 清澈 時(shí)間: 2025-3-22 21:32
Suaad Alarifi,Stephen Wolthusenent level will be conducted continuously for performing each prediction in the proposed scheme. Our proposed mechanism is developed and tested with four cases which can be regarded as using scenarios of wireless cellular network. The experimental results show that the proposed scheme can capture rep作者: PET-scan 時(shí)間: 2025-3-23 03:58 作者: 協(xié)迫 時(shí)間: 2025-3-23 07:48
A Modified Chaotic Cryptographic Methodhich is statistical/ machine learning algorithm. Experimental results indicate that the performance of the CMAC NN was better than SVR in the tested case. Therefore, the CMAC NN may be considered as an efficient tool for forecasting financial time series.作者: 含糊其辭 時(shí)間: 2025-3-23 12:50
Book 2010g theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-tech作者: GROWL 時(shí)間: 2025-3-23 15:06 作者: 為寵愛 時(shí)間: 2025-3-23 20:46 作者: Tinea-Capitis 時(shí)間: 2025-3-23 22:44
Prediction of Urban Heat Island Intensity in Chuxiong City with Backpropagation Neural NetworkOverview: 作者: 有法律效應(yīng) 時(shí)間: 2025-3-24 04:44
Research on the Fouling Prediction of Heat Exchanger Based on Wavelet Relevance Vector MachineOverview: 作者: GRIPE 時(shí)間: 2025-3-24 09:40 作者: 恫嚇 時(shí)間: 2025-3-24 13:28
Least Square Support Vector Machine Ensemble for Daily Rainfall Forecasting Based on Linear and NonlOverview: 作者: 古代 時(shí)間: 2025-3-24 15:00 作者: conflate 時(shí)間: 2025-3-24 21:59
Nonlinear System Modeling with a New Fuzzy Model and Neural CompensationOverview: 作者: 懶惰人民 時(shí)間: 2025-3-25 01:52 作者: 鎮(zhèn)壓 時(shí)間: 2025-3-25 05:58 作者: 酷熱 時(shí)間: 2025-3-25 09:33
Fuzzy Sliding Mode Control with Perturbation Estimation for a Piezoactuated MicromanipulatorOverview: 作者: comely 時(shí)間: 2025-3-25 14:19
A Credit Risk Rating Model Based on Fuzzy Neural NetworkOverview: 作者: Mucosa 時(shí)間: 2025-3-25 17:45
Advances in Neural Network Research and Applications作者: 幾何學(xué)家 時(shí)間: 2025-3-25 20:11 作者: PACK 時(shí)間: 2025-3-26 02:32
The Study of Forecasting Model of Rock Burst for Acoustic Emission Based on BP Neural Network and Ca Ressource zur Gew?hrleistung dieses Rechts in mehreren Staaten genutzt. Offensichtlich besteht damit vor allem in wasserknappen Regionen die Gefahr, dass infolge des Verhaltens anderer Staaten das diesem Recht innewohnende Versorgungsziel gef?hrdet oder gar nicht erreicht werden kann. Zu denken ist作者: Anthrp 時(shí)間: 2025-3-26 04:41
Application of Wavelet Neural Network to Prediction of Water Content in Crude Oilesiedelt ist, aber auch mehrere Kanntone umfassen kann (Jagmetti 1968: 475, Brugger 1986: 310, Eichenberger 1990: 24, Leresche 1995: 495). Dieser Situation entsprechend hat sich die Arbeitsgruppe Wirtschaftspolitik der ORK 1996 vom Attribut ?regional“ getrennt, da es in ihrer Arbeit zu mi?verst?ndli作者: 自傳 時(shí)間: 2025-3-26 12:12 作者: 漂浮 時(shí)間: 2025-3-26 15:39 作者: ALIBI 時(shí)間: 2025-3-26 18:36 作者: MEAN 時(shí)間: 2025-3-27 00:50 作者: REP 時(shí)間: 2025-3-27 02:44 作者: cliche 時(shí)間: 2025-3-27 07:59
André Pereira,Manuel Correia,Pedro Brand?otrophe theory to determine whether the rock burst. And then the experimental data recorded are used for examining the model. The results show that the degree of prediction accuracy is high, and it proves that the prediction model of rock burst is feasible.作者: 痛苦一下 時(shí)間: 2025-3-27 12:37 作者: 關(guān)節(jié)炎 時(shí)間: 2025-3-27 17:40
Bart Decker,Jorn Lapon,Andreas Uhl island intensity in Chuxiong city in 2006 with backpropagation neural network. The predicted value was 2.1815°C. Compared with its measured value, residual error was 0.1042, relative error was 4.5588model and GM(1,1) model. The result shows that backpropagation neural network is effective to predic作者: antiandrogen 時(shí)間: 2025-3-27 18:11
Communications and Multimedia Securityvelet transform to decompose the original series into some filtered series, and a relevance vector machine whose kernel functions is wavelet function models each of them. Then, this method is used to predict fouling thermal resistance of Heat exchanger. Construction of wavelet relevance vector machi作者: 輕浮思想 時(shí)間: 2025-3-28 00:15
Lecture Notes in Computer Sciencehe acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can 作者: ordain 時(shí)間: 2025-3-28 03:49 作者: 先行 時(shí)間: 2025-3-28 07:07
Communications and Multimedia Security IIula, t Copula and Clayton Copula were used to describe the structure and extend the analysis from bivariate to any n-dimension. We apply this methodology to study the returns of a portfolio of four major foreign currencies in China. Our results suggest that the optimal investment allocations are sim作者: AGGER 時(shí)間: 2025-3-28 13:04
A Modified Chaotic Cryptographic Methody and robust noise resistance. Thus, CMAC NNs are conventionally used in robot control. To solve financial time series forecasting, this paper presents an efficient CMAC NN scheme. The proposed CMAC NN transforms continuous values of input variables to discrete indexes by using a quantization operat作者: GLUE 時(shí)間: 2025-3-28 16:51 作者: Allergic 時(shí)間: 2025-3-28 19:47
Encryption System Based On Neural Network the historical data containing 17 different financial ratios of 22 healthy and 5 distressed Taiwan’s listed banks. With the help of the developed performance index, this study also proposes a growing extraction method for financial variables not only to further improve the classification ability in作者: compel 時(shí)間: 2025-3-29 00:37 作者: Gum-Disease 時(shí)間: 2025-3-29 06:16 作者: 煩躁的女人 時(shí)間: 2025-3-29 11:13 作者: 聯(lián)邦 時(shí)間: 2025-3-29 12:01 作者: 指耕作 時(shí)間: 2025-3-29 17:48
https://doi.org/10.1007/978-3-319-78130-3fer a stronger decision-making tool for designer and user of diesel engine, the neural-network-driven fuzzy reasoning mechanism of using reliability evaluation was developed based on the detail analysis of engine using reliability in the case that there is no sufficient quantitative information or t作者: 危險(xiǎn) 時(shí)間: 2025-3-29 21:12 作者: 意外的成功 時(shí)間: 2025-3-30 02:21
Undergraduate Topics in Computer Scienceneural network. The combination of fuzzy theory and neural network provides a good foundation for credit risk rating, making this model with fewer parameters, faster learning and less training samples. This study confirms that fuzzy neural network is an effective method for credit risk rating. The r作者: Nmda-Receptor 時(shí)間: 2025-3-30 05:56
Zhigang Zeng,Jun WangState of the art of Neural Network Research applied to Electrical Engineering.Presents the edited outcome of the Seventh International Symposium on Neural Networks (ISNN 2010) , Shanghai June 6-9 2010作者: 返老還童 時(shí)間: 2025-3-30 10:26 作者: 抗原 時(shí)間: 2025-3-30 12:31
https://doi.org/10.1007/978-3-642-12990-2Transport; cognition; electrical engineering; fuzzy; image processing; neural network; optimization; patter作者: 軌道 時(shí)間: 2025-3-30 20:27
978-3-662-51988-2Springer Berlin Heidelberg 2010作者: patella 時(shí)間: 2025-3-30 23:56
Advances in Neural Network Research and Applications978-3-642-12990-2Series ISSN 1876-1100 Series E-ISSN 1876-1119 作者: 萬(wàn)神殿 時(shí)間: 2025-3-31 03:07
André Pereira,Manuel Correia,Pedro Brand?otrophe theory to determine whether the rock burst. And then the experimental data recorded are used for examining the model. The results show that the degree of prediction accuracy is high, and it proves that the prediction model of rock burst is feasible.作者: 帶來(lái) 時(shí)間: 2025-3-31 07:57
Bart Decker,Jorn Lapon,Andreas Uhl island intensity in Chuxiong city in 2006 with backpropagation neural network. The predicted value was 2.1815°C. Compared with its measured value, residual error was 0.1042, relative error was 4.5588model and GM(1,1) model. The result shows that backpropagation neural network is effective to predict urban heat island intensity.作者: Congruous 時(shí)間: 2025-3-31 13:09
Lecture Notes in Computer Sciencehe acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can achieve better performance in simulated examples.作者: 清晰 時(shí)間: 2025-3-31 13:41 作者: 陰險(xiǎn) 時(shí)間: 2025-3-31 19:45 作者: Affluence 時(shí)間: 2025-3-31 22:54
1876-1100 sium on Neural Networks (ISNN 2010) , Shanghai June 6-9 2010This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international作者: Fillet,Filet 時(shí)間: 2025-4-1 02:49 作者: 沒收 時(shí)間: 2025-4-1 07:44
Book 2010a. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tr作者: 翻動(dòng) 時(shí)間: 2025-4-1 12:47 作者: 難取悅 時(shí)間: 2025-4-1 14:47
Communications and Multimedia Security IIilar across different Copula and confidence levels and the optimal investment concentrates in the USD investment. Generally speaking, t Copula and Clayton Copula can better portray the correlation structure of multiple assets than Normal Copula.
