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bp
- 网络神经代码,是综合评价较好的一种方法,该程序是实现该方法途径.
ANN
- 利用BP神经网络实现数值拟合，并对模型性能进行评价-Using BP neural network to complete numerical fitting, and uating the model performance
SOFM
- 利用自组织映射神经网络进行分类并评价模型性能-Using SOFM to realize the classfication and uating the model performance
fuzzy-neural-network-
- 基于模糊神经网络的预测算法-嘉陵江水质评价-Prediction algorithm based on fuzzy neural network- Jialing River Water Quality Evaluation
Hopfield
- 离散Hopfield神经网络的分类——高校科研能力评价-Classification of discrete Hopfield neural networks- Research Capacity Assessment
FuzzyNet
- 该代码为基于模糊神经网络的水质评价优劣的代码-The code is based on water quality assessment of the merits of fuzzy neural network code
BP
- BP神经网络模型，可用于评价，预测和优化，是十分好用的随机模型-BP neural network model and can be used for assessment, prediction and optimization, stochastic model is very useful
discrete-Hopfield--classify
- 案例10 离散Hopfield神经网络的分类——高校科研能力评价-Category 10 cases of discrete Hopfield neural networks- Research Capacity Assessment
2015-LiYuming-IQA
- LiYuming2015年在Neurocomputing发表的基于剪切变换和深层神经网络的无参考图像质量评价的文章源码及论文No-reference image quality assessment with shearlet transform and deep neural networks-No-reference image quality assessment with shearlet transform and deep neural networks
Hopfield-RNN
- 离散Hopfield神经网络的分类——高校科研能力评价- Classification of discrete Hopfield neural network uation of scientific research ability in Colleges and Universities
fcm
- 利用模糊神经网络的预测算法来机型水质指标的评价 -Prediction algorithm using fuzzy neural network model to uate water quality indicators
FuzzyNet
- 根据模糊神经网络原理，在ＭＡＴＬＡＢ中编程实现基于模糊神经网络的的水质评价算法。-According to the principle of fuzzy neural network, the water quality uation algorithm based on fuzzy neural network is programmed in MATLAB.
Hopfield2
- 某机构对20所高校的科研能力进行了调研和评价，试根据调研结果中较为重要的11个评价指标的数据，并结合离散Hopfield神经网络的联想记忆能力，建立离散Hopfield高校科研能力评价模型。-A mechanism for 20 universities scientific research ability of research and uation, test according to the research results of 11 important uation index
chapter10
- 离散Hopfield神经网络的分类-高校科研能力评价- Prediction of GRNN data based on generalized regression neural network
datamining
- 这是一个数据挖掘的算法模型，可以实现多维度、多数据、多分类的数据分析。包含对样本和数据的预处理算法，LM神经网络算法和DT决策树算法，并对两种模型进行评价的算法。-This is a data mining algorithm model, you can achieve multi-dimensional, multi-data, multi-class data analysis. Including the preprocessing algorithm for samples and d
LIVE1_train_test
- 卷积神经网络，用于立体图像质量评价，附带说明(The application of convolution neural network to the quality evaluation of stereoscopic images)
Code
- Actor.m为动作网络的类 ANN.m为神经网络的类 cartpole_model.m为控制模型 Critic.m为评价网络的类 Layer为神经层 main为主函数(Actor. M is a class of Action Network Ann. M is a kind of neural network Cartpole? Model. M is the control model Critical. M is a class of evaluation n