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ORDINAL-FEATURE-ANALYSIS
- 本文讨论了故障严重程度识别中的特征评价和特征选择算法。将严重程度识别问题中的特征分为非单调特征和单调特征，分别设计了不同的特征评价指标和特征选择算法，为故障严重程度识别提供了可行的方案。-This article discusses the failure to identify the severity of the feature in the comments and feature selection algorithms. The severity of the problem of
PSO2
- Particle Swarm Optimization based solution to Vehicle Routing Problem.
mlfma
- MLFMA结合最佳一致逼近快速求解目标宽带，RCS计算经典文章-MLFMA best uniform approximation fast solution combining broadband targets, RCS computing classic article
Power-Integrations.-Solid-State-Lighting-Solution
- Chips for the construction of the power supply. Examples of arrangements of power supplies.
Presentation1
- vertical-cavity surface-emitting laser (semiconductor laser device, diode laser) Telecomunications, Pumping source Wave length : infrared to visible etched mesa VCSEL 980nm Buried tunnel junction(BTJ) VCSEL 1300nm,1550nm Material: ALG
E-BOOK_OF_COMPUTER_ARCHITECTUNAND_ORGANISATIO
- solution of ( Computer System Architecture (3rd Ed) by M Morris Mano)
Dstatcom_2016
- Microgrids are eco-friendly power systems because they use renewable sources such as solar and wind power as the main power source. However, the stochastic nature of wind and solar power is a considerable challenge for the efficient operation of
winopt-manuscript
- Real-time Hamiltonian solution for guidance
li2016
- This paper propose an approximate closed-form expression of CFRCB, then develop two novel beamformers based on iterative implementation of this closed-form expression. Theoretical analysis and simulation results indicate that these beamformers im
A-straight-line-detection-method-based-on-chain-c
- Straight line detection is still a challenging task in image processing. Though many methods have been put forward before, most of them have some limitations. In this paper, we propose a novel method for straight line detection based on chain cod
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje