资源列表
MIOT_v2.3.1
- Mobile WiMAX Inter operability test specifications
435
- 滚动轴承多部位多类别故障诊断属于大规模或者较复杂分类问题，利用智能方法诊断时需 要设计结构合理的神经网络才能实现高精度诊断 -Rolling multi-site multi-class fault diagnosis are more complex or large-scale classification problems, the need for the rational design of neural network structure in order to achieve
xiangxishejishuomingshu
- 详细设计说明书，这个说明书内说明了网站内的详细设计计划，以及数据库的设计。-The detailed design specifications, this brochure describes the detailed design of site plans, and database design.
fusion-of-lidar-and-high-resolution-image-for-can
- Fusion of lidar images and high resolution aerial images for segmentation of forest areas.
LAZOS_WIOPT07
- 一篇关于移动目标探测的多源异类传感器网的布站算法研究论文，值得一读-On the Deployment of Heterogeneous Sensor Networks for Detection of Mobile Targets
427246.v2.pdf
- PCA-guided Routing Algorithm for Wireless Sensor Networks
parallel-and-distributed
- The simple coding of parallel and distribute network application development by using java.This coding use in NETBEAN as java platform to execute and show the output.Its show every class with own layer.This coding did not combine together to show a r
sistema-control-digital
- DISEÑ O E IMPLEMENTACIÓ N DE UN SISTEMA DE CONTROL DIGITAL DE POSICIÓ N PARA UN MOTOR DC Digital Control (PID) using a uC with C code for a position system of a DC motor
123
- 基于Matlab_的捷联惯导算法设计及仿真.pdf-Based on the Matlab strapdown inertial navigation algorithm design and simulation
Contmensihicle
- 小型无人机三维导航控制研究Control of three-dimensional navigation of small unmanned aerial vehicle-Control of three-dimensional navigation of small unmanned aerial vehicle
simple-fortran-assemblies
- 本人为fortran初学者们提供独家编辑的简单程序集，涉及到了各种基础算法，特别对二级考试有很大帮助哦~~~本资源中所有程序均通过Compaq Visual Fortran 6.0测试并完美无瑕，共享万岁-I provide exclusive edit of simple assembly fortran newbies, involving a variety of basic algorithm, especially on the two examinations of great he
neuralandwavelet
- 对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training