標(biāo)題: Titlebook: Advances in Neural Networks – ISNN 2012; 9th International Sy Jun Wang,Gary G. Yen,Marios M. Polycarpou Conference proceedings 2012 Springe [打印本頁(yè)] 作者: incompatible 時(shí)間: 2025-3-21 16:13
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012影響因子(影響力)
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012被引頻次
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012被引頻次學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012年度引用
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012年度引用學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012讀者反饋
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2012讀者反饋學(xué)科排名
作者: COUCH 時(shí)間: 2025-3-21 21:12 作者: alcoholism 時(shí)間: 2025-3-22 02:42
https://doi.org/10.1007/978-3-642-31346-2algorithms; extreme learning machines; feature selection; fuzzy neural networks; machine learning; algori作者: Deadpan 時(shí)間: 2025-3-22 07:42 作者: DAUNT 時(shí)間: 2025-3-22 10:06
Jun Wang,Gary G. Yen,Marios M. PolycarpouUp to date results.State of the art research.Fast track conference proceedings作者: 襲擊 時(shí)間: 2025-3-22 16:23
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149164.jpg作者: 細(xì)胞學(xué) 時(shí)間: 2025-3-22 20:47 作者: ANIM 時(shí)間: 2025-3-22 21:26
M. Joseph Sirgy,Rhonda Phillips,Don R. Rahtz improve the efficacy of neural network training. However, those global algorithms suffer the curse of dimensionality. We propose a new approach that focuses on the topology of the solution space. Our method prunes the search space by using the Lipschitzian property of the criterion function. We hav作者: 過(guò)分 時(shí)間: 2025-3-23 03:00 作者: achlorhydria 時(shí)間: 2025-3-23 06:47
https://doi.org/10.1007/978-94-007-0535-7based on mutual information and extreme learning machines is proposed in this paper. Simple mutual information based feature selection method is integrated with the fast learning kernel based extreme learning machines to obtain better modeling performance. In the method, optimal number of the featur作者: 針葉 時(shí)間: 2025-3-23 12:13 作者: hardheaded 時(shí)間: 2025-3-23 15:45
M. Joseph Sirgy,Rhonda Phillips,Don Rahtzrying problems. In this paper, we generalize and investigate a continuous-time ZNN model for online solution of the time-varying convex quadratic programming (QP) subject to a time-varying linear equality constraint. For the purpose of possible hardware (e.g., digital-circuit or digital-computer) re作者: BLOT 時(shí)間: 2025-3-23 21:58 作者: Innovative 時(shí)間: 2025-3-23 23:12 作者: characteristic 時(shí)間: 2025-3-24 02:53
Economic Issues for Women in Texas and analytically determines the output weights of SLFNs. but when dealing with large datasets, we need more hidden nodes to enhance training and testing accuracy, in this case, this algorithm can’t achieve high speed any more, sometimes its training can’t be executed because the bias matrix is out 作者: 誘使 時(shí)間: 2025-3-24 07:19 作者: 有害 時(shí)間: 2025-3-24 14:24
Community Radio Policies in South Asiaombination of fuzzy rule-based models, polynomial neural networks (PNNs) and a hybrid optimization algorithm. The proposed hybrid optimization algorithm is developed by a combination of a space search algorithm and an improved complex method. The structure of HOFRPNN comprises of a synergistic usage作者: monochromatic 時(shí)間: 2025-3-24 18:46 作者: miniature 時(shí)間: 2025-3-24 19:09 作者: 頑固 時(shí)間: 2025-3-25 02:25 作者: Ordnance 時(shí)間: 2025-3-25 03:58
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clusteringen Mangelsymptomen, die u. U. bis zum Tode führen k?nnen. Beispiele bieten die klassischen gro?en Avitaminosen wie Skorbut oder Beri-Beri. Die unersetzlichen, nicht im eigenen Stoffwechsel herstellbaren Substanzen pflegt man als . Nahrungsfaktoren zu bezeichnen.作者: 喊叫 時(shí)間: 2025-3-25 11:25 作者: Airtight 時(shí)間: 2025-3-25 15:30
A Hierarchical Neural Network Architecture for Classificationin ?Beschluss“ schien ihm das Mittel der Wahl. Was bedeutet diese Qualifizierung für die rechtlichen Wirkungen des ERASMUS-Beschlusses? Steht es einem Mitgliedstaat frei, das ERASMUS-Programm zu boykottieren, wenn er eine Einmischung in seine bildungspolitischen Kompetenzen fürchtet? Ben?tigte der R作者: Deceit 時(shí)間: 2025-3-25 16:39 作者: Kinetic 時(shí)間: 2025-3-26 00:00 作者: 寄生蟲(chóng) 時(shí)間: 2025-3-26 03:32
Patch Processing for Relational Learning Vector QuantizationOverview: 作者: 咽下 時(shí)間: 2025-3-26 04:41 作者: 閃光你我 時(shí)間: 2025-3-26 12:11
Research of Dynamic Load Identification Based on Extreme Learning MachineOverview: 作者: LUT 時(shí)間: 2025-3-26 16:34 作者: 泥沼 時(shí)間: 2025-3-26 17:11 作者: 臭了生氣 時(shí)間: 2025-3-26 22:19
Samantha Shepherd,Sarah McMahonel parameters. We demonstrate the efficiency of the new method using the artificial signals, which are random mixtures of horizontal and vertical bars that are a benchmark for Boolean factor analysis. Then we show that the method can be used for real task solving when analyzing data from the Kyoto Encyclopedia of Genes and Genomes.作者: 不適當(dāng) 時(shí)間: 2025-3-27 03:36 作者: 任命 時(shí)間: 2025-3-27 06:17 作者: 令人不快 時(shí)間: 2025-3-27 13:07 作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-27 16:31
M. Joseph Sirgy,Rhonda Phillips,Don Rahtzdifference rules. Computer-simulation and numerical results demonstrate the efficacy and accuracy of the presented continuous-time ZNN model and the proposed discrete-time ZNN algorithms for solving online time-varying QP problems.作者: 無(wú)價(jià)值 時(shí)間: 2025-3-27 18:34
Conference proceedings 2012henyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recogni作者: sed-rate 時(shí)間: 2025-3-28 01:46 作者: 啪心兒跳動(dòng) 時(shí)間: 2025-3-28 05:32
Conference proceedings 2012are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.作者: 他去就結(jié)束 時(shí)間: 2025-3-28 08:56
M. Joseph Sirgy,Rhonda Phillips,Don R. Rahtze developed procedures that efficiently compute local Lipschitz constants over subsets of the weight space. Those Local Lipschitz constants can be used to compute lower bounds on the optimal solution.作者: 欺騙手段 時(shí)間: 2025-3-28 11:05
M. Joseph Sirgy,Rhonda Phillips,Don R. Rahtze coefficients of polynomial (connection weight). The performance of the proposed model are illustrated with by using two kinds of representative numerical dataset such as Automobile Miles per Gallon, (MPG dataset) and Boston Housing dataset and their results are compared with those reported in the previous studies.作者: 暗諷 時(shí)間: 2025-3-28 16:06
https://doi.org/10.1007/978-94-007-0535-7es and learning parameters of models are selected simultaneously. The simulation results based on the near-infrared spectrum show that the proposed approach has better prediction performance and fast leaning speed.作者: Glucocorticoids 時(shí)間: 2025-3-28 19:11
https://doi.org/10.1007/978-94-007-6501-6his contribution, we propose an intuitive linear time and constant space approximation of RGLVQ by means of patch processing. An efficient heuristic which maintains the good classification accuracy and interpretability of RGLVQ results, as demonstrated in three examples from the biomdical domain.作者: 皮薩 時(shí)間: 2025-3-28 23:29 作者: 愛(ài)哭 時(shí)間: 2025-3-29 03:33 作者: Presbyopia 時(shí)間: 2025-3-29 08:34
Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysise Tr?ger der N?hrstoffe sind. Man kann die Ern?hrung auf die verschiedenste Art und mit den verschiedensten Lebensmitteln gestalten. Entscheidend ist allein, da? durch die Nahrung alle ben?tigten N?hrstoffe in ausreichenden Mengen und zweckm??igen Proportionen zugeführt werden. Alle zum Aufbau der K作者: jaunty 時(shí)間: 2025-3-29 15:12
Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constantse Tr?ger der N?hrstoffe sind. Man kann die Ern?hrung auf die verschiedenste Art und mit den verschiedensten Lebensmitteln gestalten. Entscheidend ist allein, da? durch die Nahrung alle ben?tigten N?hrstoffe in ausreichenden Mengen und zweckm??igen Proportionen zugeführt werden. Alle zum Aufbau der K作者: 立即 時(shí)間: 2025-3-29 19:21
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clusteringe Tr?ger der N?hrstoffe sind. Man kann die Ern?hrung auf die verschiedenste Art und mit den verschiedensten Lebensmitteln gestalten. Entscheidend ist allein, da? durch die Nahrung alle ben?tigten N?hrstoffe in ausreichenden Mengen und zweckm??igen Proportionen zugeführt werden. Alle zum Aufbau der K作者: 別炫耀 時(shí)間: 2025-3-29 21:51
Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machinessgesellschaft der Frage nachgehen will, inwieweit Ganztagsbildung als eine gemeinsame Aufgabe der Kinder- und Jugendhilfe wie der Schule formuliert und begründet werden kann, muss zwangsl?ufig über Gehabtes, Bekanntes und immer wieder Beklagtes hinaus weisen wollen. Denn die programmatische Forderun
