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The selection of a lymphocyte by a detected antigen for clonal proliferation, inspired the modeling of CLONALG De Castro and Von Zuben [186, 190] presented CLONALG as an algorithm that performs machine-learning and pattern recognition tasks All patterns are presented as binary strings The a nity between an ALC and a non-self pattern is measured as the Hamming distance between the ALC and the non-self pattern The Hamming distance gives an indication of the similarity between two patterns, ie a lower Hamming distance between an ALC and a non-self pattern implies a stronger a nity All patterns in the training set are seen as non-self patterns Algorithm 193 summarizes CLONALG for pattern recognition tasks The di erent parts of the algorithm are explained next The set of ALCs, C, is initialized with na randomly generated ALCs The ALC set is split into a memory set of ALCs, M, and the remaining set of ALCs, R, which are not in M Thus, C = M R and |C| = |M| + |R| (ie na = nm + nr ) The assumption in CLONALG is that there is one memory ALC for each of the patterns that needs to be recognized in DT Each training pattern, zp , at random position, p, in DT , is presented to C The a nity between zp and each ALC in C is calculated A subset of the nh highest a nity ALCs ssrs pdf 417 SSRS PDF417 2D Barcode Generator - IDAutomation
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crystal reports barcode font free IDAutomation's hosted Barcode SSRS Generator Service dynamically creates high-quality images to stream into Microsoft SSRS , Report Builder, and RDL files. Algorithm 193 CLONALG Algorithm for Pattern Recognition t = tmax ; Determine the antigen patterns as training set DT ; Initialize a set of na randomly generated ALCs as population C; Select a subset of nm = |DT | memory ALCs, as population M C; Select a subset of na nm ALCs, as population R C; while t > 0 do for each antigen pattern zp DT do Calculate the a nity between zp and each of the ALCs in C; Select nh of the highest a nity ALCs with zp from C as subset H; Sort the ALCs of H in ascending order, according to the ALCs a nity; Generate W as the set of clones for each ALC in H; Generate W as the set of mutated clones for each ALC in W; Calculate the a nity between zp and each of the ALCs in W ; Select the ALC with the highest a nity in W as x; Insert x in M at position p; Replace nl of the lowest a nity ALCs in R with randomly generated ALCs; end t = t 1; end birt barcode tool, birt ean 13, birt gs1 128, word pdf 417, word 2013 code 39, data matrix word 2010 ssrs pdf 417 Print PDF - 417 Barcode in SSRS / SQL Server Reporting Services
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qr code library java free download Generate & insert high quality PDF - 417 in Reporting Service with Barcode Generator for Reporting Service provided by Business Refinery.com. where is a multiplying factor and round returns the closest integer The ALCs in the cloned set, W, are mutated with a mutation rate that is inversely proportional to the calculated a nity, ie a higher a nity implies a lower rate of mutation The mutated clones in W are added to a set of mutated clones, W The a nity between the mutated clones in W and the selected training pattern, zp , is calculated The ALC with the highest calculated a nity in W , x, replaces the ALC at position, p, in set M, if the a nity of x is higher than the a nity of the ALC in set M Randomly generated ALCs replace nl of the lowest a nity ALCs in R The learning process repeats, until the maximum number of generations, tmax , has been reached A modi ed version of CLONALG has been applied to multi-modal function optimization [190] . 63 64 64 ssrs pdf 417 8 Adding PDF417 Symbols to SQL Server Reporting Service - Morovia
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