搜索资源列表
verilog-som
- 拿verilog编写的som(自适应神经网络算法),用于障碍物检测,基于FPGA可综合实验,已经在altera的cylcone上实现-Canal verilog prepared som (adaptive neural network algorithm) for obstacle detection. Based on FPGA synthesis experiments, in altera achieve the cylcone
Verilog_SOM
- Verilog编写的SOM(自适应神经网络算法)-Verilog written SOM (self-adaptive neural network algorithm)
nerualnetwork
- 本文为通信专业硕士研究生的毕业论文。主要研究神经网络的FPGA实现及其在网络拥塞控制中的应用。 -In this paper, for the communications professional Master s thesis. Major study of the FPGA realization of neural networks and its application in network congestion control applications.
FPGA-basedhardwareimplementationofneuralnetworks.r
- 基于FPGA的神经网络硬件实现中的关键问题研究,适合用fpga研究神经网络的工程人员参考-FPGA-based hardware implementation of neural networks in the study of key issues for research with neural networks fpga reference works
ANNs
- 人工神经网络(ArtificialNeuralNetworks,简写为ANNs)也简称为神经网络(NNs)或称作连接模型(ConnectionistModel),它是一种模范动物神经网络行为特征,进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度,通过调整内部大量节点之间相互连接的关系,从而达到处理信息的目的。 -Artificial neural network (ArtificialNeuralNetworks, abbreviated as ANNs) also refe
FPGA-of-Neural-Networks
- 神经网络的FPGA实现,注意是英文的; 神经网络的FPGA实现,注意是英文的;-FPGA IMPLEMENTATIONS OF NEURAL NETWORKS
FPGA_SJ
- 基于FPGA的神经网络硬件实现方法损失是否-Neural network hardware implementation based on FPGA
verilog-som
- 基于fpga的自适应神经网络算法-Fpga-based adaptive neural network algorithm
fpga_code
- 神经网络ELM的vhdl实例,该算法权值已在matlab上训练好,实际就充当一个硬件分类器-Vhdl examples ELM neural network, which is a good weight algorithm has been trained on matlab, actually acts as a hardware classifier
nn_pid
- 这是一个bp神经网络+PID控制器对飞行器控制系统的VHDL程序,其中模块并不完全,但大体模块都有,很有参考意义-This is a bp neural network controller for aircraft control system+PID VHDL program, which the module is not complete, but generally module has great reference significance
nnpid
- 通过神经网络实现的PID算法,整个工程文件,调试通过。-By PID algorithm neural networks, the entire project files, debugging through.
verilog
- 自适应神经网络算法,用于障碍物检测,基于FPGA可综合实验-Adaptive neural network algorithm for obstacle detection, based on the FPGA can be integrated experiment
pe
- 卷积神经网络当中的卷积模块,包括有测试程序,用硬件实现5*150的整列卷积-Convolutional neural network convolution module, including a test program, with hardware to achieve 5* 150 integer convolution
BNN-PYNQ-master
- 在PYNQ-Z1上搭建二值神经网络(BNN)(Building two value neural network (BNN) on PYNQ-Z1)