標題: Titlebook: Computational Intelligence and Intelligent Systems; 9th International Sy Kangshun Li,Wei Li,Yong Liu Conference proceedings 2018 Springer N [打印本頁] 作者: Grant 時間: 2025-3-21 19:33
書目名稱Computational Intelligence and Intelligent Systems影響因子(影響力)
書目名稱Computational Intelligence and Intelligent Systems影響因子(影響力)學科排名
書目名稱Computational Intelligence and Intelligent Systems網絡公開度
書目名稱Computational Intelligence and Intelligent Systems網絡公開度學科排名
書目名稱Computational Intelligence and Intelligent Systems被引頻次
書目名稱Computational Intelligence and Intelligent Systems被引頻次學科排名
書目名稱Computational Intelligence and Intelligent Systems年度引用
書目名稱Computational Intelligence and Intelligent Systems年度引用學科排名
書目名稱Computational Intelligence and Intelligent Systems讀者反饋
書目名稱Computational Intelligence and Intelligent Systems讀者反饋學科排名
作者: 大都市 時間: 2025-3-21 20:48 作者: 腫塊 時間: 2025-3-22 03:33 作者: yohimbine 時間: 2025-3-22 04:57
Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizationser (RBCFO) based on reinforcement learning (RL) and self-adaptive search strategy for continuous optimizations. The algorithm aims to enhance the individual search efficiency during the evolution process via exploiting the RL mechanism in the multi-operations decision level and the adaptive search s作者: 助記 時間: 2025-3-22 11:48 作者: 極力證明 時間: 2025-3-22 16:24
Traffic Condition Assessment Based on Support Vectors Machine Using Intelligent Transportation SysteS information. There were study results as examples by means of the tool of inductive loop detectors, which were collected to be used as study materials, including 1-37, I-10 and 1-410 in San Antonio. It’s usual to use Support Vectors Machine that is one kind of new data dig technology to absorb dif作者: 極力證明 時間: 2025-3-22 19:25
Bidirectional Negative Correlation Learningcorrelation learning, the learning target on a give data point was set to be the same for all the individual learners in the committee. The same learning target could lead the individual learners to become similar to each other if the learning process would be conducted for long. In order to create 作者: corporate 時間: 2025-3-22 21:24 作者: 蜿蜒而流 時間: 2025-3-23 04:02
A Multi-task Learning Approach for Mandarin-English Code-Switching Conversational Speech Recognitional speech recognition (MECS-CSR) (primary task) and language identification (LID) (auxiliary task). In our approach, the hidden layers of the DNNs for primary task fuse with ones of the DNN for auxiliary task by sharing weights/bias parameters. Extensive experiments are carried out on LDC2015S04 and作者: intuition 時間: 2025-3-23 09:23
Feature Selection of Network Flow Based on Machine Learning features and categories, but information gain algorithm only considers the contribution values of individual feature to classification. It combines the subsequent learning algorithm to set appropriate threshold and complete feature selection, thus the consideration of redundancy between features ar作者: 滔滔不絕的人 時間: 2025-3-23 11:13 作者: 驕傲 時間: 2025-3-23 15:06 作者: wangle 時間: 2025-3-23 18:18 作者: Invigorate 時間: 2025-3-24 00:47 作者: FUME 時間: 2025-3-24 05:41
Improving Energy Demand Estimation Using an Adaptive Firefly Algorithm and related organizations. Generally, energy demand can be mathematically modelled by population, economic, and other indicators using various forms of equations. However, it is difficult to choose optimal or near-optimal weighting factors for these models. In this paper, an adaptive firefly algori作者: 河流 時間: 2025-3-24 08:30 作者: 戲法 時間: 2025-3-24 13:29
Bidirectional Negative Correlation Learningr them to become similar even if a long learning process would be performed. Experimental results would show how the two different learning targets would allow the individual learners to become both weak and different in negative correlation learning.作者: 輕快走過 時間: 2025-3-24 16:32 作者: 精美食品 時間: 2025-3-24 20:47 作者: SENT 時間: 2025-3-25 00:19 作者: 戲法 時間: 2025-3-25 06:36
Funktion und Ablauf des Zwischenverfahrensnking to EPANET simulation is utilized to trade off the two optimization objectives. A medium size of water distribution network is employed for demonstrating the validity of proposed model and methodology.作者: CUMB 時間: 2025-3-25 09:59 作者: Provenance 時間: 2025-3-25 12:30 作者: 易達到 時間: 2025-3-25 18:00 作者: obviate 時間: 2025-3-25 21:47
Durchführung des Ermittlungsverfahrensunctions and solves the weighted least squares problem to reconstruct the spectral reflectance. Experiment results show that our approach has better recovery precision and generalization performance than both the global kernel methods and the local linear methods.作者: 尖牙 時間: 2025-3-26 00:52 作者: circumvent 時間: 2025-3-26 04:34 作者: Implicit 時間: 2025-3-26 12:04 作者: zonules 時間: 2025-3-26 15:39
https://doi.org/10.1007/978-3-642-38414-1 forms, are used. Historical data in Turkey from 1979 to 2005 is utilized for training and testing these models. Experimental results show that our approach achieves better relative estimation errors than two other existing algorithms, ant colony (ACO) and particle swarm optimization (PSO).作者: figment 時間: 2025-3-26 17:20
Traffic Condition Assessment Based on Support Vectors Machine Using Intelligent Transportation Systeetween the prediction results and another two variables, namely BP neural system and Response Surface Methodology, or say RSM which is known as a traditional means in statistics. According to the result, the SVM model is superior to BP neural system and RSM model as to the aspects of MAPE and the RMSE.作者: Accolade 時間: 2025-3-27 00:07 作者: MUMP 時間: 2025-3-27 03:26 作者: cumber 時間: 2025-3-27 05:53
Feature Selection of Network Flow Based on Machine Learningm can increase classification accuracy through further removing its redundant features. Finally, under three kinds of learning algorithms, we compare the classification effect of three feature selection methods on WEKA platform respectively.作者: neutrophils 時間: 2025-3-27 11:48 作者: 高爾夫 時間: 2025-3-27 14:42 作者: induct 時間: 2025-3-27 18:07
1865-0929 platforms;?Cloud computing and multiagent systems:?service models,?Cloud engineering;?everywhere connectivity:?IoT solutions,?wireless sensor networks..978-981-13-1647-0978-981-13-1648-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: canvass 時間: 2025-3-27 22:24
Abschluss des Ermittlungsverfahrens. Secondly, we use these abstention samples to synthetize new samples. Thirdly, we construct mutual-information-SMOTE classifiers using MIC and SMOTE. Finally, we uses our classifiers to obtain the final results. Numerical examples are given for indicating that MISC is more effective for imbalanced data classification through comparing with MIC.作者: Organization 時間: 2025-3-28 03:06
Die Rechtsstellung des Beschuldigteni.e., cell-to-cell crossover) to dynamically balance exploration and exploitation during the search process. Then the proposed algorithm is evaluated against several state-of-the-art algorithms on a set of continuous benchmark instances. Experimental results verify the significant superiority of the proposed algorithm.作者: 萬花筒 時間: 2025-3-28 09:10
Funktion und Ablauf des Zwischenverfahrensmerical example shows that the proposed algorithm can find the minimal attribute reduction effectively. Compared with the previous algorithm, the proposed algorithm can reduce the calculation amount on reduction greatly in the decision table which has more conditional attributes.作者: 大看臺 時間: 2025-3-28 10:36 作者: Entropion 時間: 2025-3-28 14:41 作者: narcissism 時間: 2025-3-28 20:30
Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizationsi.e., cell-to-cell crossover) to dynamically balance exploration and exploitation during the search process. Then the proposed algorithm is evaluated against several state-of-the-art algorithms on a set of continuous benchmark instances. Experimental results verify the significant superiority of the proposed algorithm.作者: 類型 時間: 2025-3-29 02:27 作者: objection 時間: 2025-3-29 06:36
Multi-objective Firefly Algorithm Guided by Elite Particletal results show that the proposed algorithm is superior to the MOPSO, MOEA/D, PESA-II, NSGA-III algorithm on the GD, SP, MS and other quantitative indexes for the seven classic test functions, and the proposed algorithm is an effective method for multi-objective optimization.作者: FLEET 時間: 2025-3-29 10:24
Conference proceedings 2018angzhou, China, in November 2017.The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This first volume is organized in topical sections on neural networks and statistical learning: neural architecture search,?transfer of knowledge;?evolutionary mu作者: 憤慨一下 時間: 2025-3-29 14:23 作者: fatuity 時間: 2025-3-29 19:36 作者: Accommodation 時間: 2025-3-29 21:45 作者: 污點 時間: 2025-3-30 00:51 作者: 兇猛 時間: 2025-3-30 06:56
Ontology Sparse Vector Learning Algorithmaper two experiment results showed algorithm by using squared loss function to express the error term, Finally, two experiment results showed the effective of our ontology sparse vector learning algorithm for ontology similarity computation in specific engineering applications.作者: Autobiography 時間: 2025-3-30 09:51
Funktion und Ablauf des Zwischenverfahrensrks, the new neural network is with fewer neurons for solving quadratic programming problems. The global convergence of the model is proven with contraction analysis. The discrete time model and an alternative model for solving the problem under irredundant equality constraints are also studied. Sim作者: STING 時間: 2025-3-30 15:48 作者: 拾落穗 時間: 2025-3-30 17:33 作者: 紅潤 時間: 2025-3-30 21:21
Die Rechtsstellung des Beschuldigtener (RBCFO) based on reinforcement learning (RL) and self-adaptive search strategy for continuous optimizations. The algorithm aims to enhance the individual search efficiency during the evolution process via exploiting the RL mechanism in the multi-operations decision level and the adaptive search s作者: 天氣 時間: 2025-3-31 01:46
Funktion und Ablauf des Zwischenverfahrenstion algorithm based on distinguish matrix and the improved attribute significance is put forward. Firstly, the deficiencies of two kinds of classical attribute reduction are analyzed. Furthermore, an improved attribute significance definition is given according to ability to distinguish one object 作者: antecedence 時間: 2025-3-31 06:04 作者: NAV 時間: 2025-3-31 12:58
Grunds?tze der Hauptverhandlungcorrelation learning, the learning target on a give data point was set to be the same for all the individual learners in the committee. The same learning target could lead the individual learners to become similar to each other if the learning process would be conducted for long. In order to create
