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单片机开发  The MEASURE program uses the analog inputs of the P89LPC935 to implement a datalogger. This example

The MEASURE program uses the analog inputs of the P89LPC935 to implement a datalogger. This example shows how you can use signal functions in uVision to simulate a signal coming into one of the analog inputs of the P89LPC935 controller.

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matlab例程  Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimen

Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimensions than two). For an introduction, refer to the Wikipedia article on Quaternions. Quaternion toolbox for Matlab&reg extends Matlab&reg to allow calculation with matrices of quaternions in almost t ...

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VHDL/FPGA/Verilog DDR SDRAM控制器的VHDL源代码

DDR SDRAM控制器的VHDL源代码，含详细设计文档。 The DDR, DCM, and SelectI/O&#8482 features in the Virtex&#8482 -II architecture make it the perfect choice for implementing a controller of a Double Data Rate (DDR) SDRAM. The Digital Clock Manager (DCM) provides the required Delay Locked Loop (DLL), Dig ...

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人工智能/神经网络  neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o

neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a f ...

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数值算法/人工智能  Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs

Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％％ The activation functions must be either linear or tanh. The network ...

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人工智能/神经网络  Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the func

Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the functions NNPRUNE and NNFPE.

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人工智能/神经网络  ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％％ If desired, it is p

％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％％ Given a set of corresponding input-output pairs and an initial ％ network, ％ ...

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matlab例程  Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Ne

Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , w ...

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压缩解压  The ZZIPlib provides read access on ZIP-archives. The library uses only the patent-free compression-

The ZZIPlib provides read access on ZIP-archives. The library uses only the patent-free compression-algorithms supported by Zlib. It provides functions that transparently access files being either real files or zipped files, both with the same filepath

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中间件编程  ucos2 is a file system for embedded applications which can be used on any media, for which you can p

ucos2 is a file system for embedded applications which can be used on any media, for which you can provide basic hardware access functions. &micro C/FS is a high performance library that has been optimized for minimum memory consumption in RAM and ROM, high speed and versatility. It is written in AN ...

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