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Third International Conference on Natural Computation (ICNC 2007)最新文献

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A New Economics Architecture for Manufacturing Grid 制造网格的新经济体系结构
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.93
Yong-Li Zhou, Ying-Wu Chen
This paper has a discussion and research on building a new economics model for manufacturing grid (MG) based on beneficial drive. It firstly introduces the economics roles into manufacturing gird to express the economic attributes of the resources of MG. It also analyses the relationship between different roles. And paper focuses on building a new economics architecture supporting multi economics models. It adopts the MGeQoS to indicate how to deal with the selection of economics modes, and does the WSDI expression to describe MGeQoS attributes. And paper puts forward a matching service negotiation mechanism of economics model to realize the selection of economics model and do the management and scheduling of resource via the user MGeQoS. Based on these techniques, we present the conception model of MG economics architecture, and finally we build an effective and complete MG economics architecture which can support multi economics models.
本文对基于利益驱动的制造网格经济新模型的构建进行了探讨和研究。首先在制造网格中引入经济角色来表达制造资源的经济属性;分析了不同角色之间的关系。并着重于构建一个支持多种经济模型的新经济体系。采用MGeQoS来表示如何处理经济模式的选择,并使用WSDI表达式来描述MGeQoS属性。提出了一种经济模型匹配服务协商机制,实现经济模型的选择,通过用户MGeQoS对资源进行管理和调度。在此基础上,提出了MG经济体系结构的概念模型,并构建了一个有效的、完整的、支持多种经济模型的MG经济体系结构。
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引用次数: 1
A Study of Neighborhood Competing Models Based Verification Method 基于邻域竞争模型的验证方法研究
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.148
Chengli Sun, Gang Liu, Jun Guo
Utterance verification (UV) is an important portion in an intelligent speech recognition system, which role is determine if the input speech actual includes the word sound(s). In this study, we address the UV problem in the model neighborhood information viewpoint. We present a new robust verification method which can enhance the capability of UV in noise or other mismatch conditions by using the neighboring competing models information. Comparing with tradition likelihood ratio test (LRT) and online garbage model methods, experimental results show, the performance of proposed method is comparable to the LRT method in clean speech conditions, but explicitly outperforms other verification approaches in the noise speech conditions.
语音验证(UV)是智能语音识别系统的重要组成部分,它的作用是判断输入的语音是否包含单词的声音。在本研究中,我们从模型邻域信息的角度来解决UV问题。我们提出了一种新的鲁棒验证方法,利用相邻的竞争模型信息增强了紫外在噪声或其他不匹配条件下的能力。与传统的似然比检验(LRT)和在线垃圾模型方法进行比较,实验结果表明,该方法在清洁语音条件下的性能与LRT方法相当,而在噪声语音条件下的性能明显优于其他验证方法。
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引用次数: 0
Contour Detection Based on Self-Organizing Feature Clustering 基于自组织特征聚类的轮廓检测
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.316
Yu Ma, Xiaodong Gu, Yuanyuan Wang
The real vision system has a well-developed ability to detect multiple contours and recognize various objects in images. Previous simulation models to perform this process often employ image segmentation or contour integration algorithms. In this paper a new model is proposed to separate individual object contours from the background by the feature clustering. The model is inspired by the contrast mechanism and the self-organizing characteristic of the vision system. It can group edge elements with similar local features together automatically. The self-organizing map (SOM) is used in the model to classify the edge elements in the image. Experimental results show that the object contours can be separated effectively by this model. The model can be used to supply useful information to higher-level visual mechanism for better object recognition.
真实视觉系统具有很好的检测多种轮廓和识别图像中各种物体的能力。以前的仿真模型通常采用图像分割或轮廓积分算法来执行这一过程。本文提出了一种基于特征聚类的目标轮廓分离模型。该模型的灵感来源于视觉系统的对比机制和自组织特性。它可以自动将具有相似局部特征的边缘元素分组在一起。该模型使用自组织映射(SOM)对图像中的边缘元素进行分类。实验结果表明,该模型能有效地分离出目标轮廓。该模型可以为更高层次的视觉机制提供有用的信息,以更好地进行目标识别。
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引用次数: 3
A Comparison Study of Credit Scoring Models 信用评分模型的比较研究
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.15
Defu Zhang, Hongyi Huang, Qingshan Chen, Yi Jiang
In this paper we consider a credit scoring problem. We compare three powerful credit scoring models: genetic programming (GP), backpropagation neural networks (BP) and support vector machines (SVM) when applied to this problem, then we give a combined model. The results show that the combined model produces good classification results.
本文考虑一个信用评分问题。本文比较了遗传规划(GP)、反向传播神经网络(BP)和支持向量机(SVM)三种强大的信用评分模型在此问题中的应用,并给出了一个组合模型。结果表明,该组合模型具有较好的分类效果。
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引用次数: 31
Research on Float-Coded Genetic Algorithm Based on Wavelet Denoising Mutation 基于小波去噪突变的浮点编码遗传算法研究
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.623
Mingyi Cui, Yanli Shangguan
Coding is a difficult subject of research on genetic algorithm (GA). In many codes, float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. Hence, float-coded genetic algorithm (FCGA) based on wavelet denoising mutation (FCGAWM) was proposed in this paper. Decomposing of FC noise was shown with wavelet in theory. FC denoising mutation was implemented in it. The experiment was made in it. The results of the research and the experiment indicated that the theory was credible and the method was feasible in it. FCGAWM is of active significance to extend application space of FCGA.
编码是遗传算法研究的一个难点。在许多代码中,浮点码(FC)优于其他正在使用的代码。但是,遗传操作研究忽略了噪声及其对遗传算法性能的影响。突变对遗传算法性能的提高起着重要作用。为此,本文提出了基于小波去噪突变的浮点编码遗传算法(FCGA)。从理论上说明了小波对FC噪声的分解。在此基础上实现了FC去噪突变。实验是在里面进行的。研究和实验结果表明,该理论是可信的,方法是可行的。fcgwan对扩展FCGA的应用空间具有积极的意义。
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引用次数: 9
The Self-Tuning Neural Speed Regulator Applied to DC Servo Motor 应用于直流伺服电机的自整定神经网络调速器
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.743
Y. Kang, M. Chu, Chuan-Wei Chang, Yi-Wei Chen, Min-Chou Chen
This study utilizes the direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to regulate the speed of a DC servo motor. The proposed neural controller is treated as a speed regulator to keep the motor in constant speed without the specified reference model. A tangent hyperbolic function is used as the activation function, and the back propagation error is approximated by a linear combination of error and error's differential. The simulation and experiment results reveal that the proposed speed regulator keeps motor in constant speed with high convergent speed, and enhances the adaptability of the accurate speed control system.
本研究将基于反向传播神经网络(BPN)的直接神经控制(DNC)与专门的学习架构应用于直流伺服电机的速度调节。所提出的神经控制器被视为一个速度调节器,使电机在没有指定参考模型的情况下保持恒定速度。采用正切双曲函数作为激活函数,用误差和误差微分的线性组合逼近反向传播误差。仿真和实验结果表明,所提出的调速装置能使电机保持恒定转速,收敛速度高,增强了精确调速系统的适应性。
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引用次数: 4
Intelligent Forecast for Cucumber Fusarium Wilt Combining Case-based Reasoning With Self-organizing Maps 结合案例推理和自组织地图的黄瓜枯萎病智能预测
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.449
Zhengang Yang, F. Deng, Weizhang Liu
Combining self-organizing maps (SOM) with case-based reasoning (CBR), a hybrid intelligent forecast method for CFW (cucumber fusarium wilt) is presented. Different from the traditional similar case retrieval, this method performs case classification with trained SOM network and then figures out a similar case set using a proposed case similarity metric. A classification accuracy of 97.22% was achieved by the integrated SOM network in the classification performance test. From CFW forecast experiments, the optimal interval of dissimilarity threshold R for this method is inferred. Comprehensive analysis shows that this hybrid forecast method can effectively provide reliable reasoning data for CFW forecast and assist decision-making of CFW prevention and treatment measures.
将自组织映射(SOM)与基于案例推理(CBR)相结合,提出了一种黄瓜枯萎病的混合智能预测方法。与传统的相似案例检索不同,该方法使用训练好的SOM网络进行案例分类,然后使用提出的案例相似度度量来计算相似案例集。在分类性能测试中,集成SOM网络的分类准确率达到97.22%。从CFW预报实验中,推导出该方法的最优不相似阈值R区间。综合分析表明,该混合预报方法可有效地为CFW预报提供可靠的推理数据,辅助制定CFW防治措施。
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引用次数: 0
A Web Collaborative Learning System Based on Multi-agent 基于多智能体的Web协同学习系统
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.155
Zhengyou Wang, Jianhua Ming
On the basis of concept, characteristics and related work of collaborative learning, this paper proposes a practical and efficient way based on multi-agent technology. At first, the paper introduces a collaborative learning framework which supporting group learning and illustrated the whole learning process. Secondly, the paper presents some key issues to implementation of the virtual learning environment, such as intelligent grouping, intelligent question & answer system, knowledge management, evaluation of group-learning effectiveness. Learning practice verifies the validity of the system.
本文在阐述协同学习的概念、特点和相关工作的基础上,提出了一种实用高效的基于多智能体技术的协同学习方法。本文首先介绍了支持小组学习的协作学习框架,并举例说明了整个学习过程。其次,提出了实现虚拟学习环境的关键问题,如智能分组、智能问答系统、知识管理、小组学习效果评价等。学习实践验证了系统的有效性。
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引用次数: 6
A Geometric Initialization Algorithm for Blind Separation of Speech Signals 语音信号盲分离的几何初始化算法
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.38
Chao Wang, Yong Fang
Iterative blind source separation algorithm is often equivalent to a forward neural network trained by the unsupervised learning. Training iteration of parameters should be initialized beforehand. In this paper, an initialization algorithm is proposed for the blind separation of mixed speech signals based on the geometric structure of speech signal space. After the mixed signals are whitened, the quadrants of coordinates are regarded as the local PC A subspaces of the obtained signals. The mixing matrix can be estimated by the first eigenvectors of these subspaces. Simulation results show that separation performance of the FASTICA algorithm is improved by the proposed initialization algorithm.
迭代盲源分离算法通常等同于由无监督学习训练的前向神经网络。参数的训练迭代需要预先初始化。本文提出了一种基于语音信号空间几何结构的混合语音信号盲分离初始化算法。对混合信号进行白化处理后,将坐标象限作为得到的信号的局部pca子空间。混合矩阵可以由这些子空间的第一个特征向量估计。仿真结果表明,该初始化算法提高了FASTICA算法的分离性能。
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引用次数: 0
A Web Services Composition With Well Structured 结构良好的Web服务组合
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.156
Jiuyun Xu, Changbao Li, Youxiang Duan
This paper proposes a Web services composition approach. Using this approach, the composition planner can deal with succession, conjunction and exclusion control structures. Moreover, the composition plan is dead lock free and can terminate normally (which is defined as well structured). In this paper, along with a declarative definition of basic concepts and description of candidate Web services, the composition approach gives an algorithm to generate the composition plan and an aggregation of control structures among the candidate Web services. Furthermore, the case study illustrates that the composition plan using proposed approach is dead lock free and can terminate normally.
本文提出了一种Web服务组合方法。使用这种方法,组合规划器可以处理连续、连接和排除控制结构。此外,组合计划没有死锁,可以正常终止(定义为结构良好)。在本文中,除了对基本概念的声明性定义和候选Web服务的描述外,组合方法还提供了一种算法,用于在候选Web服务之间生成组合计划和控制结构的聚合。此外,实例研究表明,采用该方法的组合计划没有死锁,可以正常终止。
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Third International Conference on Natural Computation (ICNC 2007)
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