2017
DOI: 10.1080/14484846.2017.1374815
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Gradient method for identification of isomorphism of planar kinematic chains

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Cited by 7 publications
(2 citation statements)
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“…Further, First gradient chain string and Second gradient chain string two invariants from the matrix in the form of strings are identified to be used for detection of isomorphism and similarly First gradient link string and Second gradient link string and First gradient chain string of inversion are formed for detection of inversions. 25 But these methods still had certain limitations. Until now, with the further development of artificial intelligence algorithm and computing technology, scholars from all over the world have been trying to introduce new artificial intelligence algorithm to find more accurate and efficient mechanism isomorphism identification method.…”
Section: Introductionmentioning
confidence: 99%
“…Further, First gradient chain string and Second gradient chain string two invariants from the matrix in the form of strings are identified to be used for detection of isomorphism and similarly First gradient link string and Second gradient link string and First gradient chain string of inversion are formed for detection of inversions. 25 But these methods still had certain limitations. Until now, with the further development of artificial intelligence algorithm and computing technology, scholars from all over the world have been trying to introduce new artificial intelligence algorithm to find more accurate and efficient mechanism isomorphism identification method.…”
Section: Introductionmentioning
confidence: 99%
“…Joint and chain hamming number and joint hamming string are used to determine isomorphism. Shukla and sanyal [8] proposed a gradient concept used to identify isomorphism and inversion of kinematic chains. Gradient analogy is used to prepare gradient matrix in that first gradient chain string and second gradient chain string is formed is used for identification of isomorphism and inversion.…”
Section: Introductionmentioning
confidence: 99%