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  • We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1И

    We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1􀀀    􀀀 xng 􀀀 IR3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.

    標簽: demonstrate unorganized algorithm describe

    上傳時間: 2013-12-18

    上傳用戶:xc216

  • 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 trained with % weight decay, an estimate of the noise variance, and the Gauss-Newton % Hessian. %

    標簽: generalization calculates prediction function

    上傳時間: 2014-12-03

    上傳用戶:maizezhen

  • 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 final prediction error estimate (fpe), the effective number % of weights in the network if it has been trained with weight decay, % an estimate of the noise variance, and the Gauss-Newton Hessian. %

    標簽: generalization calculates prediction function

    上傳時間: 2016-12-27

    上傳用戶:腳趾頭

  • PW5410B_2.0.pdf規格書下載

    The PW5410B is a low noise, constant frequency (1.2MHz) switched capacitor voltage doubler. Itproduces a regulated output voltage from 1.8V to 5V input with up to 100mA of output current. Lowexternal parts count (one flying capacitor and two small bypass capacitors at VIN and VOUT) makethe PW5410B ideally suited for small, battery-powered applications

    標簽: pw5410

    上傳時間: 2022-02-11

    上傳用戶:wangshoupeng199

  • PW5410A_2.0.pdf規格書下載

    The PW5410A is a low noise, constant frequency (1.2MHz) switched capacitor voltage doubler. Itproduces a regulated output voltage from 2.7V to 5V input with up to 250mA of output current. Lowexternal parts count (one flying capacitor and two small bypass capacitors at VIN and VOUT) makethe PW5410A ideally suited for small, battery-powered applications

    標簽: pw5410

    上傳時間: 2022-02-11

    上傳用戶:

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