压缩 发表于 2025-3-21 17:10:16

书目名称Advances in Natural Computation影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0149082<br><br>        <br><br>书目名称Advances in Natural Computation读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0149082<br><br>        <br><br>

gruelling 发表于 2025-3-21 21:58:46

http://reply.papertrans.cn/15/1491/149082/149082_2.png

Locale 发表于 2025-3-22 02:05:14

Development of polymer processinginear programming, and efficiently solve large-scale regression problems without any optimization packages. Details of this algorithm and its implementation were presented in this paper. Simulation results for both artificial and real data show remarkable improvement of generalization performance and training time.

Arthr- 发表于 2025-3-22 07:31:15

https://doi.org/10.1007/978-1-4615-5789-0icles, namely DRNNs, with the relative network weights. These methods make the training shorter and DRNN convergent more quickly. Simulation results of the nonlinear dynamical identification verify the validity of the new algorithm.

Jargon 发表于 2025-3-22 09:58:41

http://reply.papertrans.cn/15/1491/149082/149082_5.png

磨坊 发表于 2025-3-22 15:39:56

Development of polymer processinge rate are analyzed, which can give a clear insight into the relation between the exponential convergence rate and the parameters of the neural networks. Two numerical examples are used to demonstrate the effectiveness of the obtained the results.

orthopedist 发表于 2025-3-22 20:50:51

Commercial Sexual Exploitation of Children,train the SOM network with features gained. A real life application of KPCA-FSOM algorithm in classifying data of acrylonitrile reactor is provided. The experimental results show this algorithm can obtain better clustering and network after training can more effectively monitor yields.

Inflammation 发表于 2025-3-22 23:11:55

Implication of Surfactants in Remediation,f game theory techniques to analyze overall . of the SOM. A new algorithm GTSOM is introduced to take into account cluster quality measurements and dynamically modify learning rates to ensure improved quality through successive iterations.

记成蚂蚁 发表于 2025-3-23 05:05:37

Cecilia Cruz,Christine Belin-Munierrks are trained on the different sampled data set with replacement from the training set. The performance and correct response sets are compared between two learning methods. The purpose of this paper is to find how to design more effective neural network ensembles.

paroxysm 发表于 2025-3-23 06:33:55

Cecilia Cruz,Christine Belin-Munierhe nonlinear part and the Kalman filter algorithm for the linear part. From simulation experiments with daily data on the stock prices in the Thai market, it was found that the algorithm and the Bayesian Information Criterion could perform satisfactorily.
页: [1] 2 3 4 5 6 7 8
查看完整版本: Titlebook: Advances in Natural Computation; First International Lipo Wang,Ke Chen,Yew Soon Ong Conference proceedings 2005 Springer-Verlag Berlin Hei