- DDS_ad9850 基于DDS技术的数控信号发生器控制程序
- NetMeetingDemo 网络会议管理系统 会议室管理 角色管理 设备管理
- 201032311346530 比较实用的五子棋游戏
- fourier 用matlab编的
- libPLS_1.6 拉曼光谱检测
- SquareCamera-master Android module that takes a square photo using the native Android Camera APIs. The new Camera2 APIs the L release is not used because support has to go back to SDK version 14 for my own requirement.
资源列表
Pattern_classification--2ed
- 机器学习、人工智能领域经典书籍,模式分类第二版-Machine learning, artificial intelligence, classic books, pattern classification, Second Edition
Energy-aware-mapping-VN
- 利用能耗感知来实现虚拟网络映射,在很大程度上提高了映射效率。-To use energy-aware virtual network mapping, mapping has greatly improved efficiency.
caffe-cvprw15-master
- 基于深度学习框架构建用于快速图像检索的二值哈希编码(Construction of binary hash codes for fast image retrieval based on depth learning framework)
MATLAB-neural-network-analysis
- MATLAB神经网络30个案例分析源代码-MATLAB neural network analysis of 30 cases, the source code
30-examples-neural-network
- 神经网络的30个开发实例,覆盖神经网络应用的大部分方面-30 examples of neural network development, covering most aspects of the application of neural networks
Fuzzy-adaptive-control-
- 用于更好实现自适应控制的模糊自适应控制理论-To better achieve the adaptive control of fuzzy adaptive control theory
NN
- 智能算法30案例 包括遗传算法、神经网络、粒子群、模拟退火等-Intelligent algorithm of 30 cases including genetic algorithms, neural network, particle swarm optimization, simulated annealing
classify-text-master
- 文本分类,分类材料为20newsgroup-Text classification, classified material 20newsgroup
marathi_char_rec
- This is a neural network based marathi character recognition system. Run directly OCR_ANN.m file. and then a GUI will open. Add the template file first for training. Once the excel file is taught, the GUI can recognise the text from scanned images. T
Bpnet
- 梯度下降法BP神经网络程序,可读取CSV文件(Gradient descent BP neural network program, can read CSV file)
MATLABshenjingwangluo
- MATLAB神经网络30个案例分析的m文件,希望大家下载学习。-MATLAB Neural network analysis of 30 cases, m-files, I hope you download the study.
InferenceEngine
- 简单的推理机算法实现,输入规则库,和事实库,由普通txt文件模拟两个库,可以由事实在规则中推出结果.推理机不断从规则库中选择可用的规则,每选择到可用的规则,把该规则的后件中不再facts中的所有结论添加到facts中,对facts扩充,由扩充了的facts来选择下一条可用规则对facts再次扩充,直到没有可用的规则可选为止。文件内已包含使用说明书, 说明书.docx -Simple inference algorithm, the input rule base, and the fact th
