基于小生竞的遗传算法 Genetic Algorithm Based 0n Niche
标签： Algorithm Genetic Based Niche
上传时间： 2015-10-11
上传用户：zhanditian
基于Nios-II设计和实现了支持PSTN网络、Internet网络的双网传真机系统，利用FPGA实现了传真机系统的多个电路模块，包括A/D采样控制逻辑、二值化图像处理模块、MH编码模块、MH译码模块和CIS扫描、TPH打印、电机控制模块。基于μC/OS-II、Niche TCP/IP实现了T30协议通信、非实时网络传真通信、Tiff文件创建、Tiff文件解析模块。使用Altera Cyclone EP1C20开发板实现和验证了整机系统，经过软硬件联调，达到了系统设计指标和功能。
上传时间： 2013-11-13
上传用户：xwd2010
Radio frequency (RF) can be a complex subject to navigate, but it does not have to be. If you are just getting started with radios or maybe you cannot find that old reference book about antenna aperture, this guide can help. It is intended to provide a basic understanding of RF technology, as well act as a quick reference for those who “know their stuff” but may be looking to brush up on that one Niche term that they never quite understood. This document is also a useful reference for Maxim’s products and data sheets, an index to deeper analysis found in our application notes, and a general reference for all things RF.
上传时间： 2013-10-23
上传用户：685
Radio frequency (RF) can be a complex subject to navigate, but it does not have to be. If you are just getting started with radios or maybe you cannot find that old reference book about antenna aperture, this guide can help. It is intended to provide a basic understanding of RF technology, as well act as a quick reference for those who “know their stuff” but may be looking to brush up on that one Niche term that they never quite understood. This document is also a useful reference for Maxim’s products and data sheets, an index to deeper analysis found in our application notes, and a general reference for all things RF.
标签： 无线技术
上传时间： 2013-10-08
上传用户：kinochen
This book is for all those people. • For the person who thinks programming is too hard • For the person who gets bogged down when writing or changing larger scripts (our analyst) • For the person who knows the wrong languages well (our programmer): languages like Java, C#, C++, and C are perfectly fine languages—in their Niche.
标签： 8226 programming people person
上传时间： 2016-07-10
上传用户：lz4v4
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist Niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
标签： Bishop-Pattern-Recognition-and-Ma chine-Learning
上传时间： 2020-06-10
上传用户：shancjb
