搜索结果
找到约 238 项符合
Neural 的查询结果
按分类筛选
- 全部分类
- 人工智能/神经网络 (79)
- matlab例程 (38)
- 其他书籍 (18)
- 其他 (15)
- Java编程 (8)
- 电子书籍 (8)
- 数学计算 (7)
- 文章/文档 (7)
- 书籍 (7)
- 行业发展研究 (6)
- 系统设计方案 (6)
- 软件工程 (4)
- 单片机开发 (4)
- 软件设计/软件工程 (3)
- 书籍源码 (3)
- 技术资料 (3)
- 学术论文 (2)
- Delphi控件源码 (2)
- 其他行业 (2)
- 技术管理 (2)
- 模拟电子 (1)
- 网络 (1)
- Linux/Unix编程 (1)
- VC书籍 (1)
- 数据结构 (1)
- FlashMX/Flex源码 (1)
- Internet/网络编程 (1)
- 数值算法/人工智能 (1)
- 压缩解压 (1)
- 文件格式 (1)
- 编辑器/阅读器 (1)
- 通讯编程文档 (1)
- VIP专区 (1)
- 精品软件 (1)
人工智能/神经网络 neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a f ...
人工智能/神经网络 neural network 一个演示原理的代码
neural network 一个演示原理的代码,便于初学者学习。
matlab例程 the load forecast based on Neural Networks,use the MATLAB
the load forecast based on Neural Networks,use the MATLAB
matlab例程 k-step ahead predictions determined by simulation of the % one-step ahead neural network predictor.
k-step ahead predictions determined by simulation of the
% one-step ahead neural network predictor. For NNARMAX
% models the residuals are set to zero when calculating the
% predictions. The predictions are compared to the observed output.
%
人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p
% Train a two layer neural network with the Levenberg-Marquardt
% method.
%
% If desired, it is possible to use regularization by
% weight decay. Also pruned (ie. not fully connected) networks can
% be trained.
%
% Given a set of corresponding input-output pairs and an initial
% network,
% ...
matlab例程 This function applies the Optimal Brain Surgeon (OBS) strategy for % pruning neural network models
This function applies the Optimal Brain Surgeon (OBS) strategy for
% pruning neural network models of dynamic systems. That is networks
% trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive
% counterparts.
matlab例程 Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Ne
Train a two layer neural network with a recursive prediction error
% algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
% connected) networks can be trained.
%
% The activation functions can either be linear or tanh. The network
% architecture is defined by the matrix NetDef , w ...
人工智能/神经网络 hopfield neural network
hopfield neural network
人工智能/神经网络 《神经网络设计》(neural networks design)的源代码
《神经网络设计》(neural networks design)的源代码
数学计算 Kalman Filtering and Neural Networks - Simon Haykin 原来网上的文件缺少第五章
Kalman Filtering and Neural Networks - Simon Haykin 原来网上的文件缺少第五章,这个完整版,欢迎下载,英文牛B的人可以翻译好后,再上传,谢谢!