2000 Supervised and Unsupervised Pattern Recognition.rar
標簽： Unsupervised Recognition Supervised Pattern
上傳時間： 2014-01-19
上傳用戶：13517191407
Nearest neighbors is a semi deconvolution algorithm. I m a newbie in matlab but I hope this helps somebody :)
標簽： deconvolution neighbors algorithm Nearest
上傳時間： 2014-11-26
上傳用戶：xjz632
determine whether a graph is semi-connected
標簽： semi-connected determine whether graph
上傳時間： 2017-04-30
上傳用戶：lanjisu111
Semi Dense Matching using Cross correlation, matching propagation publication
標簽： correlation propagation publication Matching
上傳時間： 2013-12-11
上傳用戶：Divine
How to monitor semi-natural key habitats in relation to grazing
標簽： semi-natural habitats relation monitor
上傳時間： 2017-09-03
上傳用戶：nairui21
Gabor feature-based face recognition using supervised locality preserving projection
標簽： feature-based recognition preserving projection
上傳時間： 2017-09-04
上傳用戶：古谷仁美
AD18器件庫，包含on semi絕大多數期間。原理圖和PCB庫均有。
上傳時間： 2019-02-14
上傳用戶：fly_1013
在研究傳統家用燃氣報警器的基礎上，以ZigBee協議為平臺，構建mesh網狀網絡實現網絡化的智能語音報警系統。由于傳感器本身的溫度和實際環境溫度的影響，傳感器標定后采用軟件補償方法。為了減少系統費用，前端節點采用半功能節點設備，路由器和協調器采用全功能節點設備，構建mesh網絡所形成的家庭內部報警系統，通過通用的電話接口連接到外部的公用電話網絡，啟動語音模塊進行報警。實驗結果表明，在2.4 GHz頻率下傳輸，有墻等障礙物的情況下，節點的傳輸距離大約為35 m，能夠滿足家庭需要，且系統工作穩定，但在功耗方面仍需進一步改善。 Abstract: On the basis of studying traditional household gas alarm system, this paper proposed the platform for the ZigBee protocol，and constructed mesh network to achieve network-based intelligent voice alarm system. Because of the sensor temperature and the actual environment temperature, this system design used software compensation after calibrating sensor. In order to reduce system cost, semi-functional node devices were used as front-end node, however, full-function devices were used as routers and coordinator，constructed alarm system within the family by building mesh network，connected to the external public telephone network through the common telephone interface, started the voice alarm module. The results indicate that nodes transmit about 35m in the distance in case of walls and other obstacles by 2.4GHz frequency transmission, this is able to meet family needs and work steadily, but still needs further improvement in power consumption.
上傳時間： 2013-10-30
上傳用戶：swaylong
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
標簽： Single-layer algorithms best-known networks
上傳時間： 2015-06-17
上傳用戶：趙云興
zemax源碼： This DLL models a standard ZEMAX surface type, either plane, sphere, or conic The surface also demonstrates a user-defined apodization filter The filter is defined as part of the real ray trace, case 5 The filter can be used at the stop to produce x-y Gaussian apodization similar to the Gaussian pupil apodization in ZEMAX but separate in x and y. The amplitude apodization is of the form EXP[-(Gx(x/R)^2 + Gy(y/R)^2)] The transmission is of the form EXP[-2(Gx(x/R)^2 + Gy(y/R)^2)] where x^2 + y^2 = r^2 R = semi-diameter The tranmitted intensity is maximum in the center. T is set to 0 if semi-diameter < 1e-10 to avoid division by zero.
標簽： standard surface models either
上傳時間： 2013-12-05
上傳用戶：003030
