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实验题
- A*算法解决找路径的问题，对于特定的图形，按照距离最短的评估函数，来解决寻优问题-A * algorithm to find paths to solve the problems that specific graphics, in accordance with the shortest distance from the assessment function, to solve the optimization problem
105359_1148
- 为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.
Ch06
- 6.1 简介 6.2 资料的表示 6.3 相似度的计算与测量 6.4 分群法的采用 6.5 分割式分群法 6.6 非分割式分群法 6.7 分群法在大型资料集合之设计 6.8 评估分群的结果-6.1 Introduction 6.2 The data indicated that 6.3 Calculation and Measurement of similarity grouping law of 6.4 using 6.5 cut 6.6 clustering m
SVM
- 用C语言自己编写基于特定训练数据和测试数据的SVM程序，并用AUC对其评估-I have written using C language based on the specific training data and test data of the SVM procedure, and their assessment of AUC
20100120
- 这是一个bp网络在雷达网络干扰评估方面的文章，很有价值-This is a bp network in radar network interference assessment of articles of great value
test
- 用于曲线拟合中评估点的选取问题的研究；可用于遗传算法-Assessment of points for curve fitting in the selection of issues can be used for genetic algorithm
Vawork
- 变参数动态贝叶斯网的态势评估Variable parameters based on situation assessment of dynamic Bayesian network-Variable parameters based on situation assessment of dynamic Bayesian network
112[1]
- 人脸检测根据姿态评估，然后利用adaboost方法训练分类器，是一片值得收藏的文章-Face detection based on posture assessment and classification using adaboost training method, is a worthy collection of articles
fuzzy-neural-network-prediction
- 模糊神经网络的预测算法-嘉陵江水质评价 模糊神经网络算法-Fuzzy neural network prediction algorithm- Jialing River water quality assessment algorithm for fuzzy neural network
Assessment
- BP神经网络的雷达网抗隐身能力评估设计 -BP neural network anti-stealth radar network capacity assessment
Ann4
- 基于模糊神经网络的预测的嘉陵江水质评价的matlab源程序以及数据-Prediction based on fuzzy neural network of the Jialing River water quality assessment and data matlab source code
mohujulei
- 基于模糊概率的风险评价程序，模糊决策，聚类-Based on risk assessment procedures fuzzy probability, fuzzy decision-making, clustering
Fuzzy-probability-of-water-shortage
- 基于模糊概率的水资源短缺风险评价模型及其应用-Fuzzy probability of water shortage risk assessment model and its application
lasuopinggu
- 次程序是基于神经网络的新奇检测技术用于拉索的状态评估的完整程序-Second procedure is based on the novel neural network technology for cable testing the integrity of the state assessment program
T_S_anfis
- 本文研究了模糊系统和神经网络这两种人工智能方法的长处和短处，并将它们有机地结合在一起。将基于T-S模型的模糊神经网络应用于水质评价中，取得了较好的效果，为水质评价提供了一个新的方法。 -In this paper, fuzzy systems and neural network artificial intelligence methods both strengths and weaknesses, and they are organically combined. TS model
BP
- BP网络对边坡稳定性的评估，采用五个输入节点。-BP network for the assessment of slope stability, using five input nodes.
12Immune-optimization-algorithm
- 免疫优化算法在物流配送中心选址中的应用。环境为matlab。里面有多样性评价和免疫操作。-Immune optimization algorithm in the Logistics Distribution Center. Environment for Matlab. Biodiversity assessment of the immune operation.
BP-airquality
- 人工神经网络方法在环境质量评价方面的应用大体可分为城市环境质量综合评价、大气环境质量评价、地表水环境质量评价、地下水环境质量评价、湖泊富营养化程度评价、生态环境分类等方面。下面主要列举基于BP算法的多层前馈网在大气环境质量评价中的应用。 许多研究者将基于BP算法的多层前馈网应用于某些城市的大气环境质量评价中，并对比了该方法与模糊决策、灰色聚类及综合评判法的评价结果，证明了BP网络模型用于大气环境质量评价的通用性、合理性、实用性及优越性。-The application of artifici
BPMIV
- 运行平台MATLAB，基于BP神经网络的评估影响值评估-Assess the impact value of the BP neural network-based assessment
CEC-09-MOEA-Competition
- 在国际性的Multiobjective Optimization Algorithms/CEC 09 MOEA Competition中获得前五名的MOEA算法的论文和源代码，很值得参考和借鉴。 -Performance Assessment of Multiobjective Optimization Algorithms/CEC 09 MOEA Competition