资源列表
zincidentifier
- 蛋白质锌结合位点预测的源代码，适合生物信息学初学者。-Zinc binding site prediction of protein source code, suitable for beginners bioinformatics.
CarboxySVM(Beta)
- 蛋白质位点预测的源代码，适合生物信息学初学者。-Protein gamma-carboxylation sites prediction of the source code, suitable for beginners bioinformatics.
BPNET
- 基于VC++的BP神经网络PID VC++类，直接可用-VC-based BP neural network PID control VC class directly available
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- 针对无线传感器网络中,节点受噪声影响导致测量精度下降的问题,提出一种基于滑动窗口内正态记分 检验的同质感知数据融合方法.在节点内设置滑动窗口,存储一个周期内的测量值样本数据,并对样本数据进行双样 本正态记分检验,-Due to the declining accuracy caused by noise in wireless sensor networks, a data fusion method called normal score test, based on slidi
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- 利用格罗贝斯统计理论剔除系统误差数据。对余下的有效数据，利用模糊理论计算其与估计值之间的模糊 贴近度，并以此确定每个传感器的重要性权重，最后提出数据融合公式实现多传感器的数据融合。应用实例验证 了该方法的有效性。-Grubbs statistical theory eliminate the use of the system error data. The remaining valid data, the use of fuzzy theory to calculate its fu
path
- 两点直接绕过障碍的最短路径计算方法，vc6编写，有示意像素界面，方便初学者理解计算方法。-Two o clock direct shortest path around obstacles calculation method, vc6 preparation, a signal pixel interface, easy for beginners to understand the calculation.
Naive-Bayes
- 基本的朴素贝叶斯算法，使用python编写。执行效率一般。-The basic Bayesian algorithms, written using python. Efficiency in general.
softmaxregression
- softmaxregression，即多分类的逻辑斯特回归算法，python编写-softmaxregression, namely multi-classification logistic regression algorithm, python write
logisticregression
- 二分类logistic回归算法。通用性比较强-Binary logistic regression algorithm. Universal relatively strong
K-mean
- K平均算法，python编写,性能较好。通用性强-K-means algorithm, python write
20news_sample_noseed
- 文本分类算法，讲数据集20newsgroup分类。可自定义形式-Text classification algorithms, speaking dataset 20newsgroup classification. Customizable forms
Strategy
- 仿生智能鱼程序，应用了PID算法，很好的解决了鱼在游动时抖动问题。-Bionic intelligent fish, application of the PID algorithm, a good solution to the problem of fish swimming in the jitter.