2012 8th International Conference on Natural Computation最新文献_第3页

Application of the PSO-SVM model for coal mine safety assessment PSO-SVM模型在煤矿安全评价中的应用

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234669

Qian Meng, Xiaoping Ma, Yan Zhou

引用次数: 8

Quantum games: Numerical approach 量子游戏:数值方法

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234560

Y. Avishai

{"title":"Quantum games: Numerical approach","authors":"Y. Avishai","doi":"10.1109/ICNC.2012.6234560","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234560","url":null,"abstract":"In classical (standard) game theory, a useful algorithm for searching Nash equilibrium in games of two players, is to determine the best response functions. For each strategy S1 of player 1 player 2 finds a best response function F2(S1), and vice versa. If the two response functions intersect, the intersection point (S1*, S2*) is a candidate for Nash equilibrium. This method is especially useful when the strategy space of each player is determined by a single variable (discrete or continuous). In the last decade, the concept of quantum games has been developed (hence we distinguish between classical and quantum games). In a quantum game with two players the strategy space of each player is composed of 2 × 2 complex unitary matrices with unit determinant. That is the group SU(2). The corresponding strategy space is characterized by three continuous variables represented by angles: 0 ≤ α ≤ 2π, 0 ≤ β ≤ 2π, 0 ≤ θ ≤ π. That turns the use of response functions impractical. In the present contribution we suggest a method for alleviating this problem by discretizing the variables as: {αi, βj, θk}, i= 1, 2, ..., I; j = 1, 2, ..., J; k = 1, 2, ... K. This enables the representation of every such triple by a single discrete variable, (αi, βj, θk) → xijk. Thereby, the strategy space is characterized by a single discrete variable taking I × J × K values and the method of response functions is feasible. We use it to show the following two results: 1) A two players quantum game with partially entangled initial state has a pure strategy Nash equilibrium. 2) A two player quantum Bayesian game with fully entangled initial state has a pure strategy Nash equilibrium.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131199685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An ant system with two colonies and its application to Traveling Salesman Problem 两个蚁群系统及其在旅行商问题中的应用

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234673

Xiao-Fan Zhou, Li-Qing Zhao, Ze-Wei Xia, Zhiqiang Chen, R. Wang

引用次数: 3

Probabilistic selection in cellular genetic algorithm 细胞遗传算法中的概率选择

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234715

Hann-Huei Foong, S. K. Leow, T. Ong

引用次数: 0

A new feature extraction and pattern recognition of partial discharge in solid Material by Neural network 基于神经网络的固体材料局部放电特征提取与模式识别

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234658

M. Oskuoee, A. Yazdizadeh, H. Mahdiani

引用次数: 7

A parthenogenetic algorithm for haplotyping a single individual based on WMLF model 基于WMLF模型的单倍型孤雌遗传算法

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234676

Jingli Wu

引用次数: 1

Modeling of longitudinal unsteady aerodynamics at high angle-of-attack based on support vector machines 基于支持向量机的大迎角纵向非定常空气动力学建模

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234640

Yongliang Chen

{"title":"Modeling of longitudinal unsteady aerodynamics at high angle-of-attack based on support vector machines","authors":"Yongliang Chen","doi":"10.1109/ICNC.2012.6234640","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234640","url":null,"abstract":"Accurately modeling nonlinear and unsteady aerodynamics at high attitude flight plays an important role in design of future high performance fighters. In the meanwhile, it also can improve the prediction of high angle of attack dynamics of normal aircraft configurations. Support vector machines (SVMs), known as a novel type of learning machines based on statistical learning theory and structural risk minimization (SRM) principle, can be used for handle regression problems. By denoting a set of nonlinear transformations from the complex input space to a high-dimensional feature space, SVMs can approximate the regression function by a linear regression in the feature space. Such implementation is so simple that it can be analyzed mathematically. By employing SVMs, the present work models the unsteady pitching oscillation aerodynamic data of a 1/10 scaled aircraft model. Here, the input data are established from the wind tunnel experiments at different frequencies and amplitudes. To make comparison, the artificial neural networks (ANNs) technique is also used. It turned out that SVMs can overcome the ANNs's inherent drawback of slow training convergence speed. Consequently, SVMs demonstrate high potentials for dealing with the chosen modeling of unsteady aerodynamics.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116792536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

The gender difference in distraction of background music and noise on the cognitive task performance 背景音乐和噪音干扰对认知任务表现的性别差异

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234719

Yang Jing, Shi Jing, Cai Huajian, Shen Chuangang, L. Yan

{"title":"The gender difference in distraction of background music and noise on the cognitive task performance","authors":"Yang Jing, Shi Jing, Cai Huajian, Shen Chuangang, L. Yan","doi":"10.1109/ICNC.2012.6234719","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234719","url":null,"abstract":"The current study examined the effect of background music and noise on the cognitive task performance and tested the gender difference. Ninety-one participants completed (53 female, 38 male) two kinds of cognitive tasks: one was simple task (perception task), the other was complex task (spatial reasoning task, which had two levels: easy & difficult). Participants were randomly assigned to one of five background sound conditions: country music, jazz music, rock music, traffic noise, and silence. We used both latency and error rate as cognitive performance. A three-way significant interaction among background sound, cognitive task and gender was found. The differential distraction of background sound was significant on performance of perception and spatial reasoning tasks. Participants spent more time completing the cognitive tasks when in the presence of rock, and made more mistakes when in the presence of noise. This distraction pattern was only found in male participants; Female participants were not distracted by background sound. The implication of these findings was discussed.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116889483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Genetic particle filtering for denoising of ECG corrupted by muscle artifacts 遗传粒子滤波用于肌肉伪影干扰的心电信号去噪

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234530

Guojun Li, Xiaoping Zeng, Jinzhao Lin, Xiaona Zhou

引用次数: 9

Using ZeeBee Sensor Network with artifical neural network for indoor location 采用ZeeBee传感器网络结合人工神经网络进行室内定位

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI: 10.1109/ICNC.2012.6234591

R. Chen, Yu-Hsiang Lin

引用次数: 8