Implement the step 2 of two-level logic minimization. Our goal is to find the minimum (Exact minimum) sum-of-products expression for a given function.
標(biāo)簽： minimization Implement the two-level
上傳時(shí)間： 2014-01-09
上傳用戶：無(wú)聊來(lái)刷下
RBF神經(jīng)網(wǎng)絡(luò)的一種 Exact -------> 有幾個(gè)training數(shù)據(jù),就有幾個(gè)接點(diǎn), 適合少量數(shù)據(jù).
標(biāo)簽： training Exact RBF 數(shù)據(jù)
上傳時(shí)間： 2013-12-10
上傳用戶：TRIFCT
As a consequence, more Exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.
標(biāo)簽： consequence analysis retained approxi
上傳時(shí)間： 2016-04-07
上傳用戶：yan2267246
As a consequence, more Exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.
標(biāo)簽： consequence analysis retained approxi
上傳時(shí)間： 2016-04-07
上傳用戶：shanml
As a consequence, more Exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.
標(biāo)簽： consequence analysis retained approxi
上傳時(shí)間： 2016-04-07
上傳用戶：changeboy
As a consequence, more Exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.
標(biāo)簽： consequence analysis retained approxi
上傳時(shí)間： 2014-01-15
上傳用戶：R50974
As a consequence, more Exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.
標(biāo)簽： consequence analysis retained approxi
上傳時(shí)間： 2013-12-23
上傳用戶：czl10052678
A Matlab toolbox for Exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
標(biāo)簽： identification time-invariant presented emphasis
上傳時(shí)間： 2013-12-28
上傳用戶：wfl_yy
Straightforward implementation of the Exact pairwise nearest neighbor (PNN) algorithm takes (O3) time
標(biāo)簽： Straightforward implementation algorithm neighbor
上傳時(shí)間： 2016-12-22
上傳用戶：myworkpost
Document showing how to determine facial features and the Exact face contour
標(biāo)簽： determine Document features showing
上傳時(shí)間： 2017-03-16
上傳用戶：wangdean1101
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