鲁棒是Robust的音译,也就是健壮和强壮的意思。它也是在异常和危险情况下系统生存的能力。比如说,计算机软件在输入错误、磁盘故障、网络过载或有意攻击情况下,能否不死机、不崩溃,就是该软件的鲁棒性。所谓“鲁棒性”,也是指控制系统在一定(结构,大小)的参数摄动下,维持其它某些性能的特性。根据对性能的不同定义,可分为稳定鲁棒性和性能鲁棒性。以闭环系统的鲁棒性作为目标设计得到的固定控制器称为鲁棒控制器。

最新论文

Relevant research has been highlighted in the computing community to develop machine learning models capable of predicting the occurrence of crimes, analyzing contexts of crimes, extracting profiles of individuals linked to crime, and analyzing crimes over time. However, models capable of predicting specific crimes, such as homicide, are not commonly found in the current literature. This research presents a machine learning model to predict homicide crimes, using a dataset that uses generic data (without study location dependencies) based on incident report records for 34 different types of crimes, along with time and space data from crime reports. Experimentally, data from the city of Bel\'em - Par\'a, Brazil was used. These data were transformed to make the problem generic, enabling the replication of this model to other locations. In the research, analyses were performed with simple and robust algorithms on the created dataset. With this, statistical tests were performed with 11 different classification methods and the results are related to the prediction's occurrence and non-occurrence of homicide crimes in the month subsequent to the occurrence of other registered crimes, with 76% assertiveness for both classes of the problem, using Random Forest. Results are considered as a baseline for the proposed problem.

0
0
下载
预览
Top