Artificial Neural Networks
標簽: Artificial Networks Neural
上傳時間: 2017-02-05
上傳用戶:com1com2
Neural Networks at your Fingertips.rar =============== Network: Adaline Network =============== Application: Pattern Recognition Classification of Digits 0-9 Author: Karsten Kutza Date: 15.4.96 Reference: B. Widrow, M.E. Hoff Adaptive Switching Circuits 1960 IRE WESCON Convention Record, IRE, New York, NY, pp. 96-104, 1960
標簽: Network Fingertips Networks Adaline
上傳時間: 2014-12-22
上傳用戶:lizhizheng88
Sensorless Control of Induction Motors by Artificial Neural Networks
標簽: Sensorless Artificial Induction Networks
上傳時間: 2017-04-22
上傳用戶:13188549192
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document
標簽: Decision-Based Probabilistic Gaussian Networks
上傳時間: 2014-01-02
上傳用戶:saharawalker
Kohenen Algorithm in Artificial Neural Networks
標簽: Artificial Algorithm Networks Kohenen
上傳時間: 2017-08-02
上傳用戶:banyou
國際會議上的關于人耳圖像識別的論文:Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction
標簽: Construction Recognition Multi-view B-Spline
上傳時間: 2013-12-17
上傳用戶:磊子226
便攜式B型超聲診斷儀具有無創(chuàng)傷、簡便易行、相對價廉等優(yōu)勢,在臨床中越來越得到廣泛的應用。它將超聲波技術、微電子技術、計算機技術、機械設計與制造及生物醫(yī)學工程等技術融合在一起。開展該課題的研究對提高臨床診斷能力和促進我國醫(yī)療事業(yè)的發(fā)展具有重要的意義。 便攜式B型超聲診斷儀由人機交互系統(tǒng)、探頭、成像系統(tǒng)、顯示系統(tǒng)構(gòu)成。其基本工作過程是:首先人機交互系統(tǒng)接收到用戶通過鍵盤或鼠標發(fā)出的命令,然后成像系統(tǒng)根據(jù)命令控制探頭發(fā)射超聲波,并對回波信號處理、合成圖像,最后通過顯示系統(tǒng)完成圖像的顯示。 成像系統(tǒng)作為便攜式B型超聲診斷儀的核心對圖像質(zhì)量有決定性影響,但以前研制的便攜式B型超聲診斷儀的成像系統(tǒng)在三個方面存在不足:第一、采用的是單片機控制步進電機,控制精度不高,導致成像系統(tǒng)采樣不精確;第二、采用的數(shù)字掃描變換算法太粗糙,影響超聲圖像的分辨率;第三、它的CPU多采用的是51系列單片機,測量速度太慢,同時也不便于系統(tǒng)升級和擴展。 針對以上不足,提出了基于FPGA的B型超聲成像系統(tǒng)解決方案,采用Altera公司的EP2C5Q208C8芯片實現(xiàn)了步進電機步距角的細分,使電機旋轉(zhuǎn)更勻速,提高了采樣精度;提出并采用DSTI-ULA算法(Uniform Ladder Algorithm based on Double Sample and Trilinear Interotation)在FPGA內(nèi)實現(xiàn)數(shù)字掃描變換,提高了圖像分辨率;人機交互系統(tǒng)采用S3C2410-AL作為CPU,改善了測量速度和系統(tǒng)的擴展性。 通過對系統(tǒng)硬件電路的設計、制作,軟件的編寫、調(diào)試,結(jié)果表明,本文所設計的便攜式B型超聲成像系統(tǒng)圖像分辨率高、測量速度快、體積小、操作方便。本文所設計的便攜式B型超聲診斷儀可在野外作業(yè)和搶險(諸如地震、抗洪)中發(fā)揮作用,同時也可在鄉(xiāng)村診所中完成對相關疾病的診斷工作。
上傳時間: 2013-05-18
上傳用戶:helmos
針對目前使用的RS232接口數(shù)字化B超鍵盤存在PC主機啟動時不能設置BIOS,提出一種PS2鍵盤的設計方法。基于W78E052D單片機,采用8通道串行A/D轉(zhuǎn)換器設計了8個TGC電位器信息采集電路,電位器位置信息以鍵盤掃描碼序列形式發(fā)送,正交編碼器信號通過XC9536XL轉(zhuǎn)換為單片機可接收的中斷信號,軟件接收到中斷信息后等效處理成按鍵。結(jié)果表明,在滿足開機可設置BIOS同時,又可實現(xiàn)超聲特有功能,不需要專門設計驅(qū)動程序,接口簡單,成本低。 Abstract: Aiming at the problem of the digital ultrasonic diagnostic imaging system keyboard with RS232 interface currently used couldn?蒺t set the BIOS when the PC boot, this paper proposed a design method of PS2 keyboards. Based on W78E052D microcontroller,designed eight TGC potentiometers information acquisition circuit with 8-channel serial A/D converter, potentiometer position information sent out with keyboard scan code sequentially.The control circuit based on XC9536 CPLD is used for converting the mechanical actions of the encoders into the signals that can be identified by the MCU, software received interrupt information and equivalently treatmented as key. The results show that the BIOS can be set to meet the boot, ultrasound specific functionality can be achieved at the same time, it does not require specially designed driver,the interface is simple and low cost.
上傳時間: 2013-10-10
上傳用戶:asdfasdfd
annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
標簽: Artificial developed implement Network
上傳時間: 2014-08-17
上傳用戶:trepb001
there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators
標簽: Recognition Character Programs released
上傳時間: 2015-09-17
上傳用戶:CHINA526