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Description: ICP,ISP,Nu-Link 等的驱动和软件
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Size: 16221107 |
Author: 365185340@qq.com |
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Description: Nuvoton Cortex-M0 Nu-link driver
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Size: 1123328 |
Author: sherly |
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Description: NUCXXXX的 ISP下载程序工具，可以配合NU-LINK使用-NUCXXXX的 ISP DWON FILE CODE.
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Size: 8832000 |
Author: 小刀 |
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Description: NuTiny-SDK-N79E85J is the specific development tool for LPC Microcontroller series ¡ VN79E81x/N79E85x/N79E84x.
Users can use NuTiny-SDK-N79E85J to develop and verify the application program easily. NuTiny-SDK-N79E85J
includes 2 portions. One is N79E85J_Tiny-EVB and the other is Nu-Link-Me. N79E85J_Tiny-EVB is
uation board and Nu-Link-Me is its Debug Adaptor. Thus, users do not need additional ICE equipment.
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Size: 467968 |
Author: illusion |
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Description: NUC100系列单片机ICP编程工具，可通过NU-LINK编程器向开发板烧写程序-ICP NUC100 series microcontroller programming tools available through NU-LINK programmer to program development board programmer
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Size: 2596864 |
Author: 流雨 |
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Description: Introduction:
The NuMicro M451 Series Board Support Package (BSP) supports the basic materials for NuMicro
M451 series development and provides an easy way to use the NuMicro M451 series.
The documents and examples show how to use each peripheral library. The pre-created projects of each tool chain
(including KEIL and IAR) could be used as an application template.
The supported tool chain includes: KEIL MDK 4.1, IAR EWARM 6.21 or higher versions.
The default debug interface (ICE) of each sample project is Nu-Link. If using U-Link2 or J-Link, you may change the debugger
option of the compiler tool chain.
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Size: 1355776 |
Author: 王志江 |
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Description: LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include-LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
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Size: 1321984 |
Author: carl2380 |
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Description: libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include-libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM)
Our goal is to help users other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include
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Size: 839680 |
Author: carl2380 |
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Description: Random ppm modulated analog signal under Contains two clients receive link-level communications program, By matlab code.
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Size: 39936 |
Author: 胡彦革
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