文件名称:plast
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 21kb
- 下载次数:
- 0次
- 提 供 者:
- 杨**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
该软件包采用MATLAB和C混合编程的方法实现了计算智能界新发现的, 也是国际最流行的神经元算法, 即Spike-Timing Dependent Plasticity. 本人完全独立设计及编制了该软件包,并经大量计算机模拟实验验证, 得到了权威专家的认可. 该软件包实现了复杂的STDP算法, 且全部参数可调. 本人使用此软件包进行的实验结果已经发表在IEEE Transactions on Neural Networks, Neurocomputing, IJNS等国际权威刊物上. 请放心使用.
使用时, 在MATLAB命令行中敲入STDP即可.-The package uses the method of mixed programming of MATLAB and C neurons newly discovered computational intelligence community, but also the most popular algorithms, namely the Spike-Timing Dependent Plasticity I completely independent design and preparation of the package, and by the large number of computer simulation experiments, has been recognized by authoritative experts, I use this package, the experimental results have been published in the IEEE Transactions on Neural Networks, Neurocomputing, IJNS international authoritative publications, please feel free to use.
使用时, 在MATLAB命令行中敲入STDP即可.-The package uses the method of mixed programming of MATLAB and C neurons newly discovered computational intelligence community, but also the most popular algorithms, namely the Spike-Timing Dependent Plasticity I completely independent design and preparation of the package, and by the large number of computer simulation experiments, has been recognized by authoritative experts, I use this package, the experimental results have been published in the IEEE Transactions on Neural Networks, Neurocomputing, IJNS international authoritative publications, please feel free to use.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
plast
.....\call10_refm.c
.....\call10_refm.mexsol
.....\default_params.m
.....\get_size.m
.....\get_with_points.m
.....\menu_f_start.m
.....\menu_f_update.m
.....\menu_h_s.m
.....\menu_h_u.m
.....\menu_i_rate.m
.....\menu_i_type.m
.....\menu_l_selection.m
.....\menu_n_soma_num.m
.....\menu_n_soma_params.m
.....\menu_n_synapse_num.m
.....\menu_n_synapse_params.m
.....\set_rate.m
.....\set_selection.m
.....\set_soma_num.m
.....\set_soma_params.m
.....\set_synapse_num.m
.....\set_synapse_params.m
.....\set_type.m
.....\spike_in.m
.....\status.m
.....\stdp.m