全息位置地图概念内涵及其关键技术初探
朱欣焰， 周成虎， 呙维， 胡涛， 刘洪强… - 武汉大学学报(信息科学 …, 2015 - ch.whu.edu.cn
针对在泛在信息与大数据时代下, 传统数字地图存在的局限性与面临的挑战,
本文在原有概念基础上, 拓展了全息位置地图概念内涵, 即在泛在网环境下 …
本文在原有概念基础上, 拓展了全息位置地图概念内涵, 即在泛在网环境下 …
Heuristic knowledge discovery for archaeological data using genetic algorithms and rough sets
A Lazar - Heuristic and optimization for knowledge discovery, 2002 - igi-global.com
The goal of this research is to investigate and develop heuristic tools in order to extract
meaningful knowledge from archeological large-scale data sets. Database queries help us …
meaningful knowledge from archeological large-scale data sets. Database queries help us …
Preliminary Study on Conception and Key Technologies of the Location-based ParrInformation Map
ZHU Xinyan, Z Chenghu, G Wei, HU Tao… - … Information Science of …, 2015 - ch.whu.edu.cn
This paper analysis the limitations and challenges of the traditional digital map in ubiquitous
information and big data era. We extend the original concept of a Parrlocation Information …
information and big data era. We extend the original concept of a Parrlocation Information …
Evolution-based learning of ontological knowledge for a large-scale multi-agent simulation
A Lazar, RG Reynolds - Information Processing with Evolutionary …, 2002 - Springer
The results of the data mining [1] process can be used in many different ways. Therefore, the
form of the knowledge collected will have a major impact on the efficiency and effectiveness …
form of the knowledge collected will have a major impact on the efficiency and effectiveness …
Chaos Rapid Recognition of Traffic Flow by Using Rough Set Neural Network
M Pang, G He - 2008 International Symposiums on Information …, 2008 - ieeexplore.ieee.org
The rapid recognition problem of chaos in traffic flow was studied by using rough set neural
network. Based on analyzing the demand of intelligent transportation system and the …
network. Based on analyzing the demand of intelligent transportation system and the …
[图书][B] Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution
A Lazar - 2002 - search.proquest.com
The goal for of this research is to investigate and develop heuristic tools in order to extract
meaningful knowledge or ontology from archeological large-scale data sets for the archaic …
meaningful knowledge or ontology from archeological large-scale data sets for the archaic …
Chaos Real-Time Recognition of Traffic Flow by Using SVM Rough Neural Network
MB Pang, GG He - 2008 4th International Conference on …, 2008 - ieeexplore.ieee.org
The real-time recognition problem of chaos in traffic flow was studied by using support vector
machine (SVM) rough neural network. Based on analyzing the demand of intelligent …
machine (SVM) rough neural network. Based on analyzing the demand of intelligent …
Neural-Symbolic Processing in Business Applications: Credit Card Fraud Detection
NF Ryman-Tubb - Computational Neuroscience for Advancing …, 2011 - igi-global.com
Neural networks are mathematical models, inspired by biological processes in the human
brain and are able to give computers more “human-like” abilities. Perhaps by examining the …
brain and are able to give computers more “human-like” abilities. Perhaps by examining the …
[PDF][PDF] Research Professorship Proposal-Knowledge Discovery for Large Data Sets
A Lazăr - Citeseer
The proposed research will investigate and develop knowledge discovery tools for
extracting meaningful socio-economical knowledge from data sets derived from the Current …
extracting meaningful socio-economical knowledge from data sets derived from the Current …