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第九届华南赛区飞思卡尔智能车光电组二等奖，内含模糊算法、PID算法，以及CCD的应用程序，单片机为K60，开发软件为Keil-Ninth South Division Freescale smart car photoelectric group prize, containing fuzzy algorithm, PID algorithm, and CCD applications, SCM as K60, to develop software for Keil
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神经网络综合应用 主要有BP神经网络的应用、PID神经网络的控制、遗传算法优化神经网络、模糊神经网络、概率神经网络-Neural network integrated applications are mainly controlled BP neural network applications, PID neural networks, genetic algorithm optimization of neural networks, fuzzy neural network, proba
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模糊聚类方法在C均值聚类算法中的应用研究；作者: Sadaaki Miyamoto-Algorithms for Fuzzy Clustering Methods in c-Means Clustering with Applications Studies in Fuzzine（FCM）
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Today, gas turbines are one of the major parts of
modern industry. They have played very imported in
aeronautical industry, power generation, and main mechanical
drivers for large pumps and compressors. This paper proposes to
examine the appl
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Today, gas turbines are one of the major parts of
modern industry. They have played very imported in
aeronautical industry, power generation, and main mechanical
drivers for large pumps and compressors. This paper proposes to
examine the appl
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用非常价格便宜的c51系列单片机实现pid的模糊设计，在工业控制方面应用非常广泛-Implemented with very inexpensive c51 MCU pid fuzzy design, a very wide range of industrial control applications
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Survey on Neuro-Fuzzy Systems and their Applications in Technical Diagnostics
Neural Networks
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Neural Network and Fuzzy Logic Applications in C/C++, Book Disk-Neural Network and Fuzzy Logic Applications in C/C++, Book Disk
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模糊控制应用，利用油门开度与车速作为模糊输入，以此为依据进行修正系数的处理。-Fuzzy control applications, the use of the throttle opening and the vehicle speed as the fuzzy input, as a basis for processing correction coefficient.
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Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB
ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiob
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fuzzy logic , applications examples for analysis of input and output data using graphical programming in matlab
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PID控制器的性能取决于Kp、Ki、Kd这3个参数是否合理，因此，优化PID控制器参数具有重要意义。目前，PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-Performance of PID controller depends on the Kp, Ki, Kd these three parameters are reasona
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describing FSVM.learns the decision surface two distinct classes of the input points.In many applications,each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and refor
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模糊RBF网络源代码程序，原理，及其应用，希望对大家有帮助-Fuzzy RBF network source code procedures, principles, and their applications, we hope to help
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粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．
PSO的优势在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。-The basic idea of Particle Swarm Optimization (PSO) is to find the optimal solution by cooperating and sharing information among individuals.
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简单的模糊自适应滑模控制程序，结合了模糊和滑模控制的优点-Simple fuzzy adaptive sliding mode control applications, combines the advantages of sliding mode control and fuzzy
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PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-The main parameters of PID controller are manual adjustment. This method is not only time-consuming, but also can not guarantee the best perfor
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一个基于ThinkPHP5.0.3开发的开源PHP快速开发框架，秉承极简、极速、极致的开发理念，为开发集成了基于数据-角色的权限管理机制，集成多种灵活快速构建工具，可方便快速扩展的模块、插件、钩子、数据包。统一了模块、插件、钩子、数据包之间的版本和依赖关系，进一步降低了代码和数据的沉余，以方便开发者快速构建自己的应用。
您可以轻松的应对复杂多变的表单、数据列表。数据列表集成类似EXCEL的快速筛选、排序、模糊搜索、AJAX编辑等功能，表单页集成常用的文本、下拉框、单选、多选、关键词、编辑器、
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Product line concept
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N-Gram（有时也称为N元模型）是自然语言处理中一个非常重要的概念，通常在NLP中，人们基于一定的语料库，可以利用N-Gram来预计或者评估一个句子是否合理。另外一方面，N-Gram的另外一个作用是用来评估两个字符串之间的差异程度。这是模糊匹配中常用的一种手段。本文将从此开始，进而向读者展示N-Gram在自然语言处理中的各种powerful的应用。(N-Gram (sometimes referred to as N metamodel) is a very important concept
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