[PDF] Top 20 Evolutionary Optimization Approach for Fingerprint Classification
Has 10000 "Evolutionary Optimization Approach for Fingerprint Classification" found on our website. Below are the top 20 most common "Evolutionary Optimization Approach for Fingerprint Classification".
Evolutionary Optimization Approach for Fingerprint Classification
... Evolutionary Optimization Approach for Fingerprint Classification Jing-Wein Wang, Member, IEEE 1 Abstract—To test the effectiveness of GHM multiwavelets in fingerprint ... See full document
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A simulation-based evolutionary approach to LNA circuit design optimization
... simulation-based evolutionary approach for designing low noise amplifier (LNA) integrated circuits ...tionary approach is developed for design optimization of LNA ...circuits. ... See full document
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A robust evolutionary algorithm for global optimization
... solutions for f C3 and f C5 ...algorithm for global optimization, in ...seeking for a fast algorithm, this research con- centrate more on ...robust approach for global ...global ... See full document
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Intelligent evolutionary algorithms for large parameter optimization problems
... intelligent evolutionary algo- rithms IEA and IMOEA using a novel intelligent gene collector (IGC) to solve single- and multiobjective LPOPs, ...divide-and-conquer approach, which con- sists of adaptively ... See full document
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An evolutionary approach for gene expression patterns
... In this study, two key mechanisms are incorporated into HeSGA: 1) incorporating two problem-specific genetic op- erators, including local and global search mechanisms and 2) maintaining the diversity of population. The ... See full document
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An evolutionary approach for gene expression patterns
... In this study, two key mechanisms are incorporated into HeSGA: 1) incorporating two problem-specific genetic op- erators, including local and global search mechanisms and 2) maintaining the diversity of population. The ... See full document
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Direct Fingerprint Classification in Raw Fingerprint Images by Using Principal Gabor Basis Functions
... our approach [10]. The databases contain 4000 fingerprint images from 2000 fingers with 2 ...enough for extracting the LRO and LRF of a local fingerprint ... See full document
5
Improved Quantum-Inspired Evolutionary Algorithm for Engineering Design Optimization
... BBM for solving nonlinear and discrete programming in mechanical design optimization 1, ...SLP approach is compared with the pure BBM, where the sequential quadratic programming is used to solve ... See full document
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A pharmacophore-based evolutionary approach for screening selective estrogen receptor modulators
... While the field of VS may be maturing, 1–3 and many good VS methods have been proposed, the promise of the virtual compound library 16 to rapidly increase the number of candidate ligands demands further improvement in ... See full document
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Device Simulation-Based Multiobjective Evolutionary Algorithm for Process Optimization of Semiconductor Solar Cells
... unified optimization frame- work, a numerical semiconductor device simulation-based MOEA is implemented for amorphous silicon thin-film solar cell optimization problem and achieves superior ...MOEA ... See full document
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Genetic Optimization of Fingerprint Recognition Based on Core Sub-Region
... Finally, a Bayesian likelihood ratio-based fitness function is devised to genetically select the most discriminative log-polar feature subset by disregarding redundant features via support vector machines ... See full document
7
Wilcoxon Neural Networks Training Using Evolutionary Optimization Methods
... Robust and non-parametric smoothing is an important idea in statistics that aims to simultaneously estimate and model the underlying structure for given data. The annealing robust back-propagation learning ... See full document
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A Ranking-based KNN Approach for Multi-Label Classification
... KNN approach for multi-label ...the approach determines the final label set of the in- stance, as shown in Figure ...an optimization method that minimizes a given loss ... See full document
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Particle Swarm Optimization-Based SVM for Incipient Fault Classification of Power Transformers
... [email protected] Abstract. A successful adoption and adaptation of the particle swarm optimiza- tion (PSO) algorithm is presented in this paper. It improves the performance of Support Vector Machine (SVM) in the ... See full document
4
Simulation-based evolutionary method in antenna design optimization
... antenna for the specific purpose, a fine tune process should be performed repeatedly for further ...performance. For an antenna designer, when one fine tunes the shape, it is just like making a wild ... See full document
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Hybrid intelligent approach for modeling and optimization of semiconductor devices and nanostructures
... intelligent approach for parameter extraction and design optimization of semiconductor nanoscale devices and ...on evolutionary algorithms, numerical methods, neural network scheme and ... See full document
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An integrated approach with new strategies for QSAR models and lead optimization
... interaction for QSAR and lead optimization, we have developed three core ...complexes for generating residue-based and atom-based interaction profiles as the features of QSAR ...residues for ... See full document
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A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data
... A classification process is often employed which decreases the dimensionality of the microarray ...swarm optimization (BPSO) and a combat genetic algo- rithm (CGA) is to perform the microarray data ... See full document
7
Dynamic Characteristic Optimization of 14 a-Si:H TFTs Gate Driver Circuit Using Evolutionary Methodology for Display Panel Manufacturing
... quired for leading edge of a pulse raised from 10% to 90% in the peak pulse amplitude and the definition of fall time is con- trary to rise ...tionary approach is activated to find the feasible ... See full document
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Evolutionary Algorithms for Hard Combinatorial Optimization Problems
... model for BDD minimization, an elitism-based evolutionary algorithm EBEA and its distributed model ...orders for the circuits that are manageable by the Exact algorithm, but also discover best-ever ... See full document
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