標(biāo)題: Titlebook: Advances in Natural Computation; Second International Licheng Jiao,Lipo Wang,Feng Wu Conference proceedings 2006 Springer-Verlag Berlin Hei [打印本頁] 作者: Recovery 時間: 2025-3-21 19:00
書目名稱Advances in Natural Computation影響因子(影響力)
書目名稱Advances in Natural Computation影響因子(影響力)學(xué)科排名
書目名稱Advances in Natural Computation網(wǎng)絡(luò)公開度
書目名稱Advances in Natural Computation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Natural Computation被引頻次
書目名稱Advances in Natural Computation被引頻次學(xué)科排名
書目名稱Advances in Natural Computation年度引用
書目名稱Advances in Natural Computation年度引用學(xué)科排名
書目名稱Advances in Natural Computation讀者反饋
書目名稱Advances in Natural Computation讀者反饋學(xué)科排名
作者: 使入迷 時間: 2025-3-22 00:06 作者: STALE 時間: 2025-3-22 00:24 作者: 窗簾等 時間: 2025-3-22 06:13
Freight Transport Demand Modelling containing one class of samples by the description of the training samples from one class and uses this boundary to classify the test samples. Moreover, new multiplicative updates are derived to solve sum and box constrained quadratic programming. The experiments show the superiority of our new algorithm.作者: Camouflage 時間: 2025-3-22 12:00 作者: indoctrinate 時間: 2025-3-22 13:49
Karsten Berns,Klaus Dressler,Martin Thulimpulse response (FIR) digital filter. Then the convergence of the model is proved, and the universality of the model is studied. Simulation results show that the proposed CFNN model can achieve a good approach to an arbitrary digital filter and has universal performance.作者: Daily-Value 時間: 2025-3-22 18:18 作者: 痛恨 時間: 2025-3-22 23:01 作者: obstruct 時間: 2025-3-23 01:49
https://doi.org/10.1007/11881070algorithm; algorithms; artificial intelligence; evolution; fuzzy; fuzzy system; fuzzy systems; knowledge di作者: overhaul 時間: 2025-3-23 08:02
978-3-540-45901-9Springer-Verlag Berlin Heidelberg 2006作者: Homocystinuria 時間: 2025-3-23 12:29
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149083.jpg作者: 五行打油詩 時間: 2025-3-23 14:01 作者: 廢止 時間: 2025-3-23 20:28
https://doi.org/10.1007/978-3-658-21300-8n the relative difference between the generalization error and leave-one-out error for classification learning algorithm under the condition of leave-one-out stability by using Markov’s inequality, and then this bound is used to estimate the generalization error of classification learning algorithm.作者: 得意人 時間: 2025-3-24 01:11 作者: FRONT 時間: 2025-3-24 05:41 作者: Promotion 時間: 2025-3-24 08:15
Karsten Berns,Klaus Dressler,Martin Thulgood accuracy can be obtained when classifiers work under the subspace. Based on the proposed ULLELDA (Unified LLE and linear discriminant analysis) algorithm, an ensemble version of the ULLELDA (En-ULLELDA) is proposed by perturbing the neighbor factors of the LLE algorithm. Here many component lea作者: Nonconformist 時間: 2025-3-24 13:37 作者: Encephalitis 時間: 2025-3-24 17:49
Tobias Peschke,Philipp Münch,Daniel G?rgestterns of different classes overlap in some regions in the feature space. In the past, many researchers developed various adaptive or discriminant metrics to improve its performance. In this paper, we demonstrate that an extremely simple adaptive distance measure significantly improves the performan作者: LOPE 時間: 2025-3-24 21:03
Commercial Vehicle Technology 2020/2021inuous state spaces. To improve the generalization ability of function approximation, kernel-based reinforcement learning becomes one of the most promising methods in recent years. But one main difficulty in kernel methods is the computational and storage costs of kernel matrix whose dimension is eq作者: daredevil 時間: 2025-3-25 01:07
Commercial Vehicle Technology 2020/2021ing power, double or triple cascade spectrophotometer, and narrow slits have been employed, but the total flux of the radiation available decreases accordingly, resulting in a lower signal-to-noise ratio (SNR) and a longer measure time. However, the spectral resolution can be improved by mathematica作者: 確保 時間: 2025-3-25 06:25 作者: Blood-Clot 時間: 2025-3-25 09:35 作者: inclusive 時間: 2025-3-25 12:09 作者: 雇傭兵 時間: 2025-3-25 16:58
https://doi.org/10.1007/978-3-658-40783-4ticle swarm optimization algorithm (SAPSO) is proposed, and it is used to optimize topology structure of multi-layer feedback forward neural network for classification of hatching eggs. Trained and tested by a great deal of samples, a reasonable neural network model is obtained. Its performance is m作者: 空洞 時間: 2025-3-25 21:49 作者: Influx 時間: 2025-3-26 01:51
Sparkling Wine Quality Control,f the network output. In addition, the original learning scheme of CMAC may corrupt the previous learning data. A control scheme, which parallely combines the fuzzy CMAC (FCMAC) and PID, is proposed in the paper. The weights are updated according to the credits which are assigned to the hypercubers 作者: 使害怕 時間: 2025-3-26 07:10 作者: 使絕緣 時間: 2025-3-26 08:32
Ioana Culic,Alexandru Radovici,Cristian Rusuto represent each category in a binary string format and a binary classifier is assigned to each bit in the string. Our strategy outperforms the existing approaches in the prior knowledge requirement, the number of binary classifiers, computation complexity, storage requirement, decision boundary co作者: 起皺紋 時間: 2025-3-26 15:38 作者: Host142 時間: 2025-3-26 19:41 作者: precede 時間: 2025-3-26 21:53 作者: Commemorate 時間: 2025-3-27 02:06
https://doi.org/10.1007/978-3-658-21300-8one-out stability by using Markov’s inequality, and then this bound is used to estimate the generalization error of classification learning algorithm. We compare the result in this paper with previous results in the end.作者: 百靈鳥 時間: 2025-3-27 07:46
https://doi.org/10.1007/978-3-658-40783-4or classification of hatching eggs. Trained and tested by a great deal of samples, a reasonable neural network model is obtained. Its performance is measured in terms of two parameters: short computing time and accuracy in the classification process.作者: 動脈 時間: 2025-3-27 11:25
https://doi.org/10.1007/978-0-230-37048-7 that this new network can recall the memorized patterns even with only a small fraction of total connections and is more sufficient than other networks with sparse topologies, such as randomly connected network and regularly network.作者: Exploit 時間: 2025-3-27 13:46 作者: 音樂學(xué)者 時間: 2025-3-27 20:27
Commercial Vehicle Technology 2020/2021easured spectroscopic data. The true spectrum and the instrument response function are estimated simultaneously. In the preprocessing stage, the noise can be reduced in some degree. Experiments on some real measured spectroscopic data demonstrate the feasibility of this method.作者: affluent 時間: 2025-3-27 22:35 作者: 尊敬 時間: 2025-3-28 02:34
Thomas Tentrup,Martin Wagner,Simon Strohcancer data set. Simulation results show that the obtained hierarchical B-spline network model has a fewer number of variables with reduced number of input features and with the high detection accuracy.作者: Allege 時間: 2025-3-28 09:41
Karsten Berns,Klaus Dressler,Martin Thulometrical method. We propose that the Gauss-Kronecker curvature of the statistical manifold is the natural measurement of the nonlinearity of the manifold. This approach provides a clear intuitive understanding of the model complexity.作者: 遍及 時間: 2025-3-28 13:54
Commercial Vehicle Technology 2022 the self learning of penalty parameter and Kernel scale parameter in the support-vector-based procedures, which eliminates the need to search parameter spaces. Experiments on real datasets demonstrate performance and efficiency of PSCSV.作者: 進(jìn)取心 時間: 2025-3-28 15:41
Oliver Bleisinger,Jo?o Paulo Casarejos Cobraeated as an implementation for the normalization of vector in n dimensional real space. Experimental results shown that feed forward neural network can classify data instantly and accurately if stereographic projection is used to normalized input vector for feed forward network.作者: 圓錐 時間: 2025-3-28 20:51
Sparkling Wine Quality Control,according to their learning histories and fuzzy membership degrees. The FCMAC is powerful in control time-varying processes due to the online learning ability of the FCMAC. Experimental results of temperature control have shown that the FCMAC with online learning ability can accurately follow the control trajectory and reduce the tracking errors.作者: AXIOM 時間: 2025-3-29 00:09
Front Matter and irrational domestic purchaser. For the cash management bank, segmentation may be seen as irrelevant as each customer may be seen as a distinct ‘segment’ in their own right, as Evans (1994, p. 329) states: ‘the trend in segmentation is towards closer relationships with customers — even on a pers作者: 動作謎 時間: 2025-3-29 06:40
Hypersphere Support Vector Machines Based on Multiplicative UpdatesOverview: 作者: 責(zé)問 時間: 2025-3-29 09:44
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization PerformaOverview: 作者: 圓木可阻礙 時間: 2025-3-29 12:38
Gabor Feature Based Classification Using LDA/QZ Algorithm for Face RecognitionOverview: 作者: 多骨 時間: 2025-3-29 16:15
Breast Cancer Detection Using Hierarchical B-Spline NetworksOverview: 作者: 表否定 時間: 2025-3-29 21:03
Ensemble-Based Discriminant Manifold Learning for Face RecognitionOverview: 作者: Mitigate 時間: 2025-3-30 00:44
Perceptual Learning Inspired Model Selection Method of Neural NetworksOverview: 作者: 誓言 時間: 2025-3-30 07:04 作者: municipality 時間: 2025-3-30 10:56 作者: Resign 時間: 2025-3-30 14:11 作者: gregarious 時間: 2025-3-30 16:40 作者: sorbitol 時間: 2025-3-30 20:44 作者: intrigue 時間: 2025-3-31 03:14 作者: Negligible 時間: 2025-3-31 06:21 作者: 的事物 時間: 2025-3-31 11:06 作者: Mawkish 時間: 2025-3-31 15:30
Fuzzy CMAC with Online Learning Ability and Its ApplicationOverview: 作者: 殘暴 時間: 2025-3-31 19:02 作者: Foolproof 時間: 2025-3-31 22:14 作者: 改正 時間: 2025-4-1 02:09
