我们应该好哈乘此资源，不是积分随便乱发额。哈哈哈哈，seishem 就是囊奥‘ 啊’
上传时间： 2016-08-20
上传用户：ysystc699
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上传时间： 2016-08-20
上传用户：ysystc699
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上传时间： 2016-08-20
上传用户：ysystc699
此方法是对lmd方法的创新，有效的解决了lmd的断电效应
上传时间： 2016-08-25
上传用户：gaoqinwu
模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值
上传时间： 2016-12-25
上传用户：wwwnada
The AP2406 is a 1.5Mhz constant frequency, slope compensated current mode PWM step-down converter. The device integrates a main switch and a synchronous rectifier for high efficiency without an external Schottky diode. It is ideal for powering portable equipment that runs from a single cell lithium-Ion (Li+) battery. The AP2406 can supply 600mA of load current from a 2.5V to 5.5V input voltage. The output voltage can be regulated as low as 0.6V. The AP2406 can also run at 100% duty cycle for low dropout operation, extending battery life in portable system. Idle mode operation at light loads provides very low output ripple voltage for noise sensitive applications. The AP2406 is offered in a low profile (1mm) 5-pin, thin SOT package, and is available in an adjustable version and fixed output voltage of 1.2V, 1.5V and 1.8V
上传时间： 2017-02-23
上传用户：w124141
由STC89C51单片机来控制DHT11传感器采集的温湿度的转换、1602液晶屏的显示，以及蜂鸣器的报警。
上传时间： 2018-04-27
上传用户：luson
SVM--支撑向量机的相关源代码 数据 与案例分析
上传时间： 2018-11-26
上传用户：marsalon
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification.
标签： LibSVM
上传时间： 2019-06-09
上传用户：lyaiqing
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
标签： recognition Bi-density machines support pattern vector twin for
上传时间： 2019-06-09
上传用户：lyaiqing
