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分布式计算实验――在Linux中实现客户机
分布式计算实验――在Linux中实现客户机-服务器通信-distributed computing experiment-- in Linux to achieve client-server communication
- 2022-02-06 11:23:23下载
- 积分：1
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illness-diagnosis
此为疾病诊断专家系统，用这种结构建立的知识库可以很方便地实现上面所提到的各种功能。这种结
构的最独特之处就是依靠相同的关键（疾病名或其代码）来实现一种疾病与其症候之
间的相互联系。疾病名与症候分别用二叉树进行排序。排序后可由疾病名而查到与该
疾病名有关的所有详细情况，也可由一种症候而查到哪些疾病有这种症候，以及该症
候可能引起各种疾病的概率。(This is the disease diagnosis expert system, using this structure to establish the knowledge base can easily realize the above mentioned features. The structure of the most unique is that relying on the same key (the disease or its code) to achieve a disease and its symptoms between. Name and symptoms of disease were treated with binary tree sort. Sort by the disease after the name of the disease were found with all the details of which can also be a symptom of the diseases that have found such a symptom, as well as the symptoms may lead to the probability of various diseases.)
- 2008-07-29 18:05:41下载
- 积分：1
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Fsvm_Regression
该文研究了当训练点的输出为三角模糊数时!支持向量回归机的构建问题’ 首先将模糊回归问题转化为模糊分
类问题!并将求模糊最优分类超平面问题转化为求解带有模糊决策的机会约束规划问题’ 利用基于模糊模拟的遗传算法
求解带有模糊决策的机会约束规划!得到模糊最优分类超平面&模糊方程$!解模糊方程得到模糊回归函数’ 在此基础上!
得出模糊线性支持向量回归机&算法$’ 从而较好地解决了支持向量机中含有模糊信息的模糊回归问题’ 最后!给出显示
模糊线性支持向量回归机特点的模糊支持向量集的定义’(err)
- 2008-04-15 09:09:16下载
- 积分：1
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kernel_matrix_lk
基于lssvm的混合核函数，线性加权了线性核函数与RBF核函数。(weighted kernel function based on lssvm)
- 2016-05-23 12:29:40下载
- 积分：1
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用delphi编写的自制小小浏览器
用delphi编写的自制小小浏览器-prepared with a small home-made browser
- 2022-04-01 19:28:17下载
- 积分：1
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Statistic_consol_sniffer_demo
power up sniffer test program ggo
- 2009-04-25 16:05:23下载
- 积分：1
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Python基础教程（第3版）
python经典教程,想要学习Python脚本语言的可以研究研究(Python course. You can learn more about python.)
- 2020-06-18 02:40:02下载
- 积分：1
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UdpSendFile
实现传输层UDP的功能，进行文件的发送等功能的实现(UDP transport layer, file send and other functions to achieve)
- 2013-04-30 19:21:41下载
- 积分：1
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20 灰色神经网络预测订单需求
说明： 神经网络可以拟合任何函数的参数，或求其最优值。(Neural network can fit the parameters of any function or find its optimal value)
- 2020-06-19 14:14:38下载
- 积分：1
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Fnn_pid
说明： 基于神经网络的PID控制不是用神经网络来整定PID的参数，而是用神经网络直接作为控制器，通过训练神经网络的权系数间接地调整PID参数。(based on neural network PID control is not using neural networks to PID parameters, Rather, as a neural network controller directly, through the training of the neural network weights indirectly PID parameters to adjust.)
- 2005-12-27 23:28:45下载
- 积分：1
