排序方式: 共有27条查询结果,搜索用时 31 毫秒
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Minutiae-based algorithm plays a more and more important role in fingerprint recognition. It is greatly limited by its demand for good image quality and depen- dence on fingerprint aligning, especially for incomplete fin- gerprint recognition. Improved Genetic algorithm-Particle swarm optimization (GA-PSO) algorithm is applied to deal with these problems. The proposed algorithm improves GA-PSO in two aspects, population initialization based on reference point pre-aligning and fitness function construc- tion based on fusion of minutiae-matching and orientation- matching. The experimental results on the FVC2004 show the high effectiveness and practicability of our algorithm. 相似文献
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Properties prediction of crude oil remains an essential issue for refineries. In this communication, an exhaustive and extendable support vector machine(SVM) intelligent prediction process has been proposed to solve this problem. A novel hybrid genetic algorithm-particle swarm optimization(GA-PSO)method was applied to optimize the SVM model. The optimization process and result demonstrated that the newly proposed GA-PSO-SVM method was more accurate and time-saving than the classical GA or PSO method. Compared with the classical Grid-search SVM, the combined GA-PSO-SVM model appeared to be more applicable for the properties prediction task. The TBP distillation curve fitting was exampled to evaluate the performance of the developed model. The regression result demonstrated the high accuracy and efficiency of the proposed process. The model can be applied in the Industrial Internet as a plugin, and the adaptability and flexibility is demonstrated by the implement of crude oil molecular reconstruction employing the intelligent prediction process. 相似文献
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属性约简是粗糙集合研究的重要内容之一。为了能够有效地获取决策表中属性最小相对约简,提出了一种基于GA-PSO的属性约简算法。该算法以条件属性对决策属性的支持度为基础,求解核属性,把所有的条件属性(除去核属性)加入粒子群算法的初始种群中,并用遗传算法对不满足适应度条件的粒子进行交叉变异操作。实验结果表明,该算法在加强局部搜索能力的同时保持了该算法全局寻优的特性,能够快速有效地获得最小相对属性集。 相似文献
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运煤系统是连续采煤机重要的组成部分,如果发生故障将导致连续采煤机停止工作,严重影响其生产率。本文在对连续采煤机运煤系统常见故障及其原因分析的基础上,通过比较分析采用遗传算法(GA)和粒子群算法(PSO)混合优化BP神经网络的方法,对连续采煤机运煤系统故障诊断进行研究。结果表明,这种方法可有效地避免BP神经网络进入局部极小值,提高学习效率和收敛精度,能更快、更准确地对连续采煤机运煤系统进行故障诊断。 相似文献
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在野战给水工程保障中,不但要满足各用水单位,也要考虑到保障过程中产生的费用,尽量能够做到在完成给水工程保障任务的基础上使整个野战给水工程保障系统所消耗的总费用最小。针对该问题,运用GA-PSO算法研究了野战给水站的选址优化模型,实例验证充分说明了基于GA思想的混合PSO在收敛速度及跳出局部极值的能力诸方面明显优于标准的GA算法和PSO算法。 相似文献
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在矿区开采地表沉降动态预计模型建立过程中,针对Richards时间函数模型参数在地质采矿条件复杂情况下难以一次性准确求取的问题,采用遗传粒子群(Genetic Algorithm and Particle Swarm Optimization,GA-PSO)融合算法对Richards模型参数进行动态修正,建立了一种基于GA-PSO融合算法的Richards时间函数参数优化模型。通过与传统GA算法和变步长果蝇优化算法(Fruit Fly Optimization,FOA)进行比较,结果表明:GA-PSO算法对Richards模型参数优化效果良好。通过单点举例和选取部分特征点验证的方法,得出GA-PSO算法模型在各个时期的预计中误差最大为14.43 mm,最小中误差为1.48 mm,最大平均误差为11.16 mm,最小平均误差为1.23 mm,且GA-PSO算法模型精度高于拟合模型和变步长FOA模型。研究表明:经过GA-PSO算法优化参数后的Richards模型能够更加高效,有助于精确构建矿区地表移动动态预计模型。 相似文献
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提出了一种数字图像中建筑物平面的重构方法,所提技术使用GA-PSO Hough变换提高Hough变换的性能,采用一种有效的限制搜索空间方法以及分层次搜索策略来减少计算量,在传统建筑平面重构技术的基础上提出了一种更加有效的改进GA-PSO HT算法来提高重构性能与质量. 相似文献