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VHDL/FPGA/Verilog Use verilog and VHDL to implement the Motion Estimation function, work as the hardware accelerator.

Use verilog and VHDL to implement the Motion Estimation function, work as the hardware accelerator.

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数值算法/人工智能  / / A Function Optimizer using Simple Genetic Algorithm / / developed from the Pascal SGA code

*/ /* A Function Optimizer using Simple Genetic Algorithm */ /* developed from the Pascal SGA code presented by David E.Goldberg */ /* 同济大学计算机系王小平 2000年5月

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Algorithm Optimizer developed Function

matlab例程  This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation con

This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)

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correlation satisfying function estimate

数学计算  This a simple genetic algorithm implementation where the evaluation function takes positive values o

This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function

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implementation evaluation algorithm function

并行计算  A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code

A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code

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Algorithm Optimizer developed Function

金融证券系统  // chebysheve outlier detection // this function is used to detect the abnormal value among a set o

// chebysheve outlier detection // this function is used to detect the abnormal value among a set of data // input: // delta: a set of data // flag: discribe which data is already known as outlier // p: restrict level // output: // double[] door : byyond which the data may be considered as a outlie ...

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chebysheve detection abnormal function

通讯/手机编程  capture frames in mobile 6.0 you can edit raw data with callback function

capture frames in mobile 6.0 you can edit raw data with callback function

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callback function capture frames

matlab例程  This function calculates Akaike s final prediction error ％ estimate of the average generalization e

This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of ％ weights in the network if the network has been train ...

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generalization calculates prediction function

人工智能/神经网络  This function calculates Akaike s final prediction error ％ estimate of the average generalization e

This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the fin ...

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generalization calculates prediction function

matlab例程  This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models

This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.

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function strategy Optimal Surgeon

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