IAES International Journal of Artificial Intelligence (IJ-AI)
Differential evolution algorithm requires diversified population to solve multi- modalproblems. D... more Differential evolution algorithm requires diversified population to solve multi- modalproblems. DE supports non-distributed population. Differential evolution algorithm (DE) versions include differential evolution algorithm with best selection method and species evolution (DESBS) and differential evolution algorithm with hierarchical fair competition modal (HFCDE). This article analyzed the efficiency of HFCDE and DESBS to solve the multi-modal s’ problems. HFCDE and DESBS support non-distributed population structured. HFCDE starts with set of feasible solution then it distributed them in the different hierarchy. HFCDE provides the fair competition. DESBS is another semi distributed, differential evolution algorithm.It starts with set of feasible solutions (population). Later it identifies the niches and create the sub-groups within population. Both HFCDE and DESBS have outperformed the other variant of state-of-art variants of DE. Here, the performance of DESBS and the HFCDE are ri...
In today’s world every official document need the Hand written signature. To verify that the sign... more In today’s world every official document need the Hand written signature. To verify that the signature done by the person is accurate and not forged, human brain stores the pattern, data and everything so that they can recognize the pattern or data if again the same thing is shown. But the human mind receives the signal from eye which cannot catch the small variation in the pattern so it becomes a big problem for the legal issues. Associative memory is used for the verification of offline signature is used. In this paper we extend the algorithm for the memory of the system and how it will check the correct signature and forged signature .The Associative Memory Net (AMN) in correctly detecting forged signatures, fast. Here, the cost functions are handled with detail parametric studies and parallel processing using OpenMP. These algorithms are trained with the original or genuine signature and tested with a sample of ten very similar-looking forged signatures. The study concludes that...
IAES International Journal of Artificial Intelligence (IJ-AI)
Differential evolution algorithm requires diversified population to solve multi- modalproblems. D... more Differential evolution algorithm requires diversified population to solve multi- modalproblems. DE supports non-distributed population. Differential evolution algorithm (DE) versions include differential evolution algorithm with best selection method and species evolution (DESBS) and differential evolution algorithm with hierarchical fair competition modal (HFCDE). This article analyzed the efficiency of HFCDE and DESBS to solve the multi-modal s’ problems. HFCDE and DESBS support non-distributed population structured. HFCDE starts with set of feasible solution then it distributed them in the different hierarchy. HFCDE provides the fair competition. DESBS is another semi distributed, differential evolution algorithm.It starts with set of feasible solutions (population). Later it identifies the niches and create the sub-groups within population. Both HFCDE and DESBS have outperformed the other variant of state-of-art variants of DE. Here, the performance of DESBS and the HFCDE are ri...
In today’s world every official document need the Hand written signature. To verify that the sign... more In today’s world every official document need the Hand written signature. To verify that the signature done by the person is accurate and not forged, human brain stores the pattern, data and everything so that they can recognize the pattern or data if again the same thing is shown. But the human mind receives the signal from eye which cannot catch the small variation in the pattern so it becomes a big problem for the legal issues. Associative memory is used for the verification of offline signature is used. In this paper we extend the algorithm for the memory of the system and how it will check the correct signature and forged signature .The Associative Memory Net (AMN) in correctly detecting forged signatures, fast. Here, the cost functions are handled with detail parametric studies and parallel processing using OpenMP. These algorithms are trained with the original or genuine signature and tested with a sample of ten very similar-looking forged signatures. The study concludes that...
Uploads
Papers by amrita ticku