The optimal model of integrated with the experts' opinions based on partical swarm optimization

机译：基于粒子群算法的专家意见整合优化模型

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

The article studies the method integrated with the experts opinions in the group decision-making, building up an optimal searching mechanism base on Delphi method, deriving an optimal model integrated with opinions of experts base on partical swarm optimization, gaining a consistent and believable conclusion with the help of the computer information processing ability.

机译：本文对群体决策中专家意见相结合的方法进行了研究，建立了基于德尔菲法的最优搜索机制，基于局部群优化推导了专家意见相结合的最优模型，得到了一致可信的结论。计算机信息处理能力的帮助。

著录项

来源
《2011 International Conference on Electric Information and Control Engineering》|2011年|p.3713-3716|共4页
会议地点
作者
Li Yuanzuo; Yang Xiaoduan; Liu Shuyun;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类自动化技术及设备;
关键词
Delphi method; Partical Swarm Optimization; complexity; network;

机译：德尔菲法粒子群优化复杂度网络;

相似文献

外文文献
中文文献
专利

1. Semantic Segmentation for Remote Sensing based on RGB Images and Lidar Data using Model-Agnostic Meta-Learning and Partical Swarm Optimization [J] . Kai Zhang, Yu Han, Jian Chen, IFAC PapersOnLine . 2020,第5期

机译：基于RGB图像和LIDAR数据的遥感语义分割，使用模型 - 不可知的元学习和部分群优化
2. Voltage stability maximization based optimal network reconfiguration in distribution networks using integrated particle swarm optimization for marine power applications [J] . Rawat Mahiraj Singh, Vadhera Shelly Indian Journal of Marine Sciences . 2019,第12期

机译：基于电压稳定性最大化的最佳网络重新配置，使用集成粒子群优化用于海洋电源应用的分配网络
3. An Efficient Web Usage Mining Approach Using Chaos Optimization and Particle Swarm Optimization Algorithm Based on Optimal Feedback Model [J] . Lu Dai, Wei Wang, Wanneng Shu Mathematical Problems in Engineering . 2013,第pta11期

机译：基于最优反馈模型的混沌优化和粒子群算法的高效Web使用挖掘方法
4. Probabilistic neural network model based on wavelet and partical swarm optimization [C] . Hua Wang, Bingxiang Liu, Xiang Cheng 2011 4th International Conference on Biomedical Engineering and Informatics . 2011

机译：基于小波和粒子群算法的概率神经网络模型
5. Finding optimal experimental designs for models in biomedical studies via particle swarm optimization. [D] . Qiu, Jiaheng. 2014

机译：通过粒子群优化为生物医学研究中的模型寻找最佳实验设计。
6. Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China [O] . Xiujuan Zhao, Wei Xu, Yunjia Ma, 2010

机译：改进的粒子群算法的基于场景的地震应急避难多目标最优分配模型-以北京市朝阳区为例
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。

The optimal model of integrated with the experts' opinions based on partical swarm optimization

摘要

著录项

相似文献

相关主题

期刊订阅