资源列表
Research_on_Network_intrusion_detection_based_on_d
- 本文提出一种基于数据挖掘的入侵检测模型,其主要思想是利用数据挖掘的方法,从经预处理的包含网络连接信息的 审计数据中提取能够区分正常和入侵的规则,并用来检测入侵行为。对Apriori 算法中求频繁集时扫描数据库I/O 负载惊人 的问题提出了一种改进办法。为验证该算法的可行性,文章最后实现了该入侵检测模型的知识库中正常连接规则的挖掘。实 验表明该模型能提取特征生成新规则,并证明了方法的可行性和有效性。-In this paper an intrusion detection system
RECURRENT-ANN-(2)
- recurrent neural network (RNN)
lvxingshang
- 给予免疫与遗传算和蚁群算法 接旅行商问题 很好的论文-Provide the immune genetic algorithm and ant colony algorithm and then a very good paper traveling salesman problem
shouxietisuzishibie
- 用matlab实现的基于概率神经网络的手写体数字识别程序，这是一个概率神经网络的实际应用-Using matlab to achieve based on probabilistic neural network handwritten numeral recognition program, which is the practical application of a probabilistic neural network
AIS_and_ACA_for_Solving_TSP
- 基于人工免疫算法和蚁群算法求解旅行商问题 ,这是一篇核心期刊的论文，不适合初学者下载-Based on artificial immune algorithm and ant colony algorithm for traveling salesman problem, which is a core journal papers, is not suitable for beginners to download
Self--Adjustment-of-Neuron-I
- a self-adjustment algorithm based on GAP-RBF is proposed for solving how to choose the overlap factorfor calculating neuron impact width.-In this paper, we propose a Constructive Enhancement for OS-ELM (CEOS-ELM), which can add random hidden
Dimensional-parameters-of-acoustic-signals-is-esti
- 估计声信号二维参数的免疫量子克隆算法Dimensional parameters of acoustic signals is estimated quantum immune clone algorithm-Dimensional parameters of acoustic signals is estimated quantum immune clone algorithm
Apriori-programe
- 这个算法的性能非常的号，大家可以放心的下载，-The performance of this algorithm is the number of downloads you can rest assured,
digital-recognition-system
- 基于神经网络的数字识别系统。可识别带有噪声旋转等等的1到10的数字。-Based on neural network of digital identification system. Can identify with noise of rotating and so on 1 to 10 figures.
ARMA-model
- 模型包括三种基本类型：自 回归模型、移动平均模型和 自回归移动平均模型 -The model consists of three basic types: the regression model, moving average and autoregressive moving average model
CATest
- 在flashmx下编写的程序，解释并演示元胞自动机规则，并进行动画演示-flashmx prepared in the process, explain and demonstrate cellular automata rules, and animation demo