资源列表
AIhighway
- 高速公路的交织水平的源程序,用MFC实现可视化-highway intertwined level of the source, using MFC Visualization
MLVQ
- LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based
TemperatureControl(C++)
- 基于模糊控制的温度控制模拟,本程序将模仿一个简单具有滞后特性的温度控制系统，采用模糊控制的方法，实现当前温度达到目标温度的有效控制。-based on fuzzy control of the temperature control simulation, This program will imitate a simple lag characteristics of the temperature control system, using fuzzy control methods the
RBF-MIP
- 关于竞相基神经网络的例程共处学者使用请支持-competing based on neural network routines together scholars use to support
cluster_full
- 包含各种常用的聚类算法，应有尽有。VC++版，可以配合文字识别等。-contains various commonly used clustering algorithm, everything. VC version can identify with characters.
AI_BP
- 用C语言实现人工神经网络。用BP神经网络拟合函数，对神经网络进行训练-C language implementation of artificial neural networks. BP neural network fitting function of neural network training
chuanjiaoshi
- C/C++求解野人与传教士问题。自定义野人和传教士人数。-C / C for savage problems with the missionaries. Since the definition of savage and the number of missionaries.
classify1
- 简单专家系统。用C、C＋＋来实现的。简单实用，直接运行。-simple expert system. C, C + + to achieve. Simple and practical, direct running.
ISODATA_C++
- 这是一个有关于模式识别中的isodata算法的C++实现。很多课程设计可用到。数据在data.txt里-This is a pattern recognition on the C isodata algorithm to achieve. Many courses available to the design. Data data.txt Lane
agentANT
- 用蚁群算法实现虚拟企业敏捷供应链的搜索，是不可多得的学习资料，供大家参考-with Ant Algorithm Agile Virtual Enterprise supply chain of searching, is a rare learning materials, for your reference
dpso_ccpzgf
- 二维二进制离散粒子群求解agent联盟问题的源代码，按c键迭代开始执行-two-dimensional discrete binary PSO Union agent for the source code, according to c Key iteration started
ReBEL_0-2-6
- ReBEL is a Matlabtoolkit of functions and scr ipts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman