资源列表
somol-filter--versus-wrapper-based-feature-select
- somol-filter- versus wrapper-based feature selection for credit scoring
Improved-Pattern-Recognition
- 模式识别相关内容，基于人工智能的，英文文档-Pattern recognition, artificial intelligence-based, English documentation
GA
- 本文针对传统遗传算法在求解问题的局限性如局 部收敛过快和全局“ 爬坡” 能力不强等问题, 提出一种改进的 控制策略, 最后通过实验验证算法的有效性。-In this paper, the traditional genetic algorithm in solving the problem of limitations such as fast local convergence and global " climbing" ability is not strong
GRNN
- 根据货运量影响因素的分析，分别取国内生产总值，工业生产总值，铁路运输线路长度，复线里程比重，公路运输线路长度，等级公路比重，铁路货车数量和民用载货汽车数量8项指标因素作为网络输入。-According to analyzing the influential factors of freight volume, respectively take the gross domestic product, industrial production, the line length of railw
A
- A星算法 的实现 VC++ 实现 人工智能-A
Coding-theorems-for-turbo-like-codes
- Coding theorems for turbo-like codes，RA码（重复累计码）的经典文献-Coding theorems for turbo-like codes, RA codes (repeat accumulate code) in classic literature
Swarm_Optimization_Algorithm_with_C
- 改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，用C实现-Improved particle swarm- adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, with the C implementation
连续Hopfield神经网络的优化—旅行商问题优化计算
- 连续Hopfield神经网络的优化 旅行商问题优化计算(Traveler problem optimization calculation)
20170911104947396
- delphi抓取网页源码 很好的源码 值得下载(asdhdsajaososadidsauidsauiodsuaiosaduioasduiosaduoisaduio)
ussrpgimemaintanence
- 一天掌握DFT,简单易懂的英文资料,内有部分代码,推荐学习,()
network1
- 应用人工神经网络的建模方法，采用多层感知器的模型结构，利用自适应学习速率的BP学习算法(The application of artificial neural network algorithm and the model structure of multilayer perceptron)
Handwritten_digit_classification
- 分别使用梯度法和牛顿法训练数据，从而得到3和5两个数字的训练模型，对测试集进行判决，得到训练错误率(The training data were trained by the gradient method and Newton method, and the training models of 3 and 5 numbers were obtained. The test set was judged and the training error rate was obtained.)