资源列表
Aqpsozipn
- 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。 -This paper presents a new method of network anomaly detection based on quantum particle swarm
Ppsoforlayouta
- 粒子群算法在排列组合问题中的应应用，源程序，matlab下编写 -Particle swarm algorithm should be applied in the permutations, source code, matlab prepared under
BSSimuAPSOa
- 有基于模拟退火的粒子群算法优化化求解无约束优化问题可直接使用。 -Based on simulated annealing particle swarm algorithm optimization for unconstrained optimization problems can be used directly.
BEXTT-BF5xx-CF
- BF5xx DSP处理器摄像头接口口电路图，与我上传的C语言代码配合使用 -BF5xx DSP processors camera interface port circuit diagram, I uploaded the C language code used in conjunction
lEmbbeddedproi
- linux学习的经典资料，全面地介绍了linnux编程与开发的流程与技巧，拿出来与大家共享 -The the linux learning classic, comprehensive introduction to the processes and skills of programming and development linnux, took out to share
AAD99218_AD92D
- ADI BF532 73360 + 带谐波分析功能的复费率电表方案 -The ADI BF532 73360+ band harmonic analysis of multi-rate meter program
dminndspsourrs
- dsp编程与开发源代码，可作为为学习dsp编程与开发的参考资料 -dsp programming and source code, can be used as learning dsp programming and development of reference materials
pfftt_flp32_Ca
- 文件包为浮点快速傅立叶变换（32点）的汇编代码，运行在ADI的Visual DSP++平台上上，由于结合了并行流水线指令，该算法具有非常高的运行效率，能被广泛使用在高速数字信号处理方面。 -File package for the floating-point fast Fourier transform (32 points) assembly code, on the run in on ADI Visual DSP++ platform, due to a combination of
UPL23033S
- USB转换芯片，pl23033无需晶振，电路简单，稳定性高 -The USB converter the chip, pl23033 without crystal, simple circuit, high stability
CDM642h264opto
- 详细全面地讲述了在TI dsp dmm642上优化H.264算法的方法思路等 -Detailed and comprehensive account of the ideas in the TI dsp dmm642 optimized H.264 algorithm
Wndis_packetI
- WINDOWS NDIS 驱动动例子。能实现封包截获与通讯层交互 -WINDOWS NDIS driver moving example. Packet capture and communication layer interaction
ASNTTPzipc
- 用SNTP协议实现网络时间同步，用VVisual C开发，比较好理解的代码. -The SNTP protocol network time synchronization with VVisual C development, better understanding of the code.