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The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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Working with large images presents a number of challenges such as managing memory use and leveraging high-performance resources ranging from multicore desktops to clusters and grids.
In this webinar you ll discover new features in MATLAB and Ima
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利用自然梯度算法来对于5 类信号进行盲信号分离，采用自然梯度法对混合的信号进行
分离并分析其性能，并比较不同步长对于信号分离的影响-Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal
Separation and analysis of its perfo
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DS-CDMA系统中的多用户盲检测算法在多径信道下的比较；对比LMS\RLS\KALMAN性能；代码属原创-DS-CDMA system of blind detection algorithm of many users in multipath channel of the comparison Contrast LMS \ RLS \ KALMAN performance Code of original
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极限学习机，一种很快的学习算法，有很好的泛化性能，性能略低于SVM,但快于SVM。-Extreme learning machine, a very fast learning algorithm has good generalization of features, performance was slightly lower than SVM, but faster than the SVM.
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StressMark测试软件是一个使用Visual C++编写的，开放源代码的测试工具，可以完成服务程序及重要算法的功能和性能测试，其最主要的功能是模拟多线程或多客户端的自动化压力测试。-The StressMark testing software is one uses Visual C++ the compilation, the open source code s testing tool, may complete the service routine and the import
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一个克隆选择算法的应用例子，可以帮助理解该种算法的性能及特点-A clonal selection algorithm application examples that can help to understand the performance and characteristics of the algorithm
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：提出了一种新的基于混沌映射与排序变换的图像加密算法。混沌序列具有容易生成、对初始条件敏感以及具备白噪声的统计特性等优点。该算法利用混沌映射对初值的敏感性和伪随机性，通过对生成的混沌序列排序来得到图像置乱的地址变换码，由于排序的不规则性，因此新的混沌图像置乱算法具有较强的保密性能。通过对该算法的置乱性能分
析并进行仿真实验，结果表明，新算法具有良好的图像加密性能。-his paper presents a new encryption algorithm based on chaotic m
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一种新的目标识别算法，它是把模板匹配
思想和性能优异的思维进化计算结合起来，在均匀颜色空间上匹配。-A new target recognition algorithm, which is the template matching
Thinking and performance Mind Evolutionary Computation combined to match the uniform color space.
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Altem公司quartus
II 8．1开发环境下，完成了中频全数字解调器的FPGA实现，并对数
字下变频、载波同步、位同步等解调器的核心模块设计进行了详细的分析和说明，给出
了实现框图和仿真波形。同时在本设计中应用了Altera公司的NiosII软核处理器技术，
用于载波的大频偏校正和解调器各个部分的监测和控制。最后给出了QPSK中频全数字
解调器关键性能指标的测试方法和测试结果，测试结果表明本设计达到了预期的性能指
标要求。-The Algorithm is con
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网络拓扑发现的算法和实现技术是衡量网络管理系统性能的一个重要方面，基于大多数网络设备都支持的SNMP协议，设计了一个网络拓扑自动发现系统的算法。该算法可发现指定深度网络内所有路由设备及指定子网内所有活动主机，并对一些关键技术的实现细节进行了分析-Algorithm and Realization of network topology discovery technique is to measure network management system performance is an imp
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本系统是个学生成绩管理系统
有如下功能：
1．用顺序表n个学生的学号和成绩录入；
思想：
在主函数里完成学生人数限定，和定义学生的结构体指针，调用录入函数。
用结构体指针完成学生信息录入。
2．用选择排序法对n个学生的成绩按照降序排列；
思想：
定义2个学生结构体指针，用选择法完成学生成绩排序。
3．利用栈和队列的算法操作，删除不及格的学生信息，保留及格学生信息在栈或队列中；
思想：
定义一
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基于前人的成果，改进实现了基于MFC对话框构架的Delaunay三角划分算法。测试了海量数据的三角划分，证明算法的效率不高。-Implement Delaunay algorithm based on former achivement. Test its performance on large-scale data.
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