模糊集理论(Fuzzy Set Theory)是处理不确定性与不精确性问题的强大工具,广泛应用于控制工程、人工智能、模式识别及决策支持系统等领域。通过引入隶属度概念,模糊集能够更自然地模拟人类思维过程,为复杂系统的建模提供了新视角。本页面汇集了1013份精选资源,涵盖基础教程到高级应用案例,助力电子工程师深入理解并灵活运用这一前沿技术,优化设计流程,提升项目创新力。
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model...
The core of Java(TM) technology, the Java virtual machine is an abstract computing machine that enables the Java(TM) platform to host applications on ...
A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction Density Evolution Decoding Algorithm Girth average Counter Stopping...
This demonstration models a flight control for the longitudinal motion of a Grumman Aerospace F-14 Tomcat. First order linear
approximations of the ...