资源列表
ORPD
- 使用粒子群算法进行无功调度，考虑经济性，具有比较好的效果。可以学习-Use PSO reactive power dispatch, considering the economy, with relatively good results. You can learn
code_bp
- 人工智能神经网络的matlab实现，有具体代码及多个M文件-Artificial neural network matlab realize, there are specific codes and a plurality of M files
suiji
- 人工智能神经网络中随机神经网络的实现，有M文件，可修改-Artificial neural network stochastic neural network to achieve, there are M-file, you can modify
code_xianxing
- 线性神经网络的实现，包括13个M文件，可以用来学习，非常实用-Linear neural network implementations, including 13 M-file can be used to learn, very practical
code_fankui
- 人工智能反馈神经网络的matlab编程，包含丰富的程序资源-AI feedback neural network matlab programming, the program contains a wealth of resources
activity-recognition-based-on-SVM
- 基于支持向量机的人类活动识别，以日常生活中的10个活动进行识别。-Support Vector Machine (SVM) was first proposed in 1995 by Cortes and Vapnik [15] for solving classification and regression problems. The solving strategy of SVM on the multiple classification problems is com
activity-recognition-based-on-DRNN
- 基于多层神经网络的人类活动识别，智能家居领域的一项重大突破。-Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time streaming data, but this presents a number of
Neural.network.character.recognition
- 本目录主要包括：文档和两个源代 其中源代码是识别程序的，另一个是矩阵类库的。 已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Catalog include: documentation and two source co
Intelligence-Control-chapter2
- 智能控制第三版仿真程序，第二章针对书中所列程序进行MATLAB仿真-Intelligence Control
v2
- 一种用于矩形排样优化的改进遗传算法_蒋兴波.rar-Improved Genetic Algorithm _ Jiang Xingbo .rar for rectangular nesting optimization
yuce
- 可以实现依据时间序列对数据进行预测，其中变量P代表神经网络训练数据-It can be achieved on the basis of time series data to predict where the variable P represents the neural network training data
DE-BP15.7.5
- 用差分算法优化BP神经网络的参数，用于压阻式压力传感器温度补偿-Using finite difference algorithm to optimize the parameters of BP neural network, it is used for temperature compensation of piezoresistive pressure sensor