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自适应神经网络在确定落煤残存瓦斯量中的应用
- 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌
神经网络动态库
- 神经网络开发的
基于动态神经网络的风电场输出功率预测
- 本文介绍动态神经网络进行风速时间序列的预测
DFNN
- 动态模糊神经网络程序，可以运行。参考书为伍世虔动态模糊神经网络-Dynamic fuzzy neural network program, you can run. Reference books for the Wu Shi Qian dynamic fuzzy neural network
DFNN
- 可自动生成规则的动态模糊神经网络。来自于清华大学吴世虔老师的《动态模糊神经网络》一书。-The rules can be automatically generated dynamic fuzzy neural networks. From Tsinghua University, Mr Ng Sai-kuen teacher " Dynamic fuzzy neural network," a book.
elman
- Elman神经网络动态非线性系统建模，程序及simulink模型-Elman neutural network modeling for dynamic non-linear system,including program and simulink model
DT1BPDTnet
- 对动态一阶对象采用BP神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of BP neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFGJDTDSYJYnet
- 对动态一阶对象采用RBF神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of RBF neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFnet
- 对动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
DT2RBFDTnet
- 对动态二阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic second-order objects using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
NDT1BPnet
- 对非线性动态一阶对象采用bp神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using bp neural network modeling of the source, after debugging, directly from MATLAB can be run!
NDT1RBFnet
- 对非线性动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
1
- 系统根据用户对检索结果的评价，动态构造神经网络-System based on user evaluation of search results, dynamic structure neural network
DT1BPGJDTJYnet
- 动态一阶改进型BP神经网络对大迟延系统的建模程序,直接运行即可!-Dynamic first-order modified BP neural network system for large delay modeling procedures can be directly run!
DTNLRBFnet
- 动态一阶改进型RBF神经网络对非线性系统的建模程序,直接运行即可!-Dynamic first-order modified RBF neural network for nonlinear system modeling procedures can be directly run!
bp-fuzzy
- 一种基于模糊神经网络的控制策略，融合了模糊控制和神经网络的优点，根据变量的动态调整实施控制器的动态参数调整-Based on fuzzy neural network control strategy, the convergence of fuzzy control and neural network advantages, in accordance with the dynamic adjustment of the implementation of variable controll
dfnn
- 一种动态模糊神经网络源码，是标准五层结构的动态模糊神经网络，该模糊神经网络的结构基于扩展的径向基神经网络，在功能上等价于TSK模糊系统。-this is a Dynamic Fuzzy neural network.
elmen
- Elmen神经网络仿真的matlab实现，该网络是一种动态神经网络，更适合动态数据的建模。并附带elmen神经网络的教学ppt。(Elmen neural network simulation of the matlab implementation, the network is a dynamic neural network, more suitable for modeling dynamic data.)
DNN
- 基于动态神经网络的时间序列预测模型，可以进行时间序列预测(A time series prediction model based on dynamic neural network can predict time series.)
源文件-动态神经网络时间序列预测研究——基于MATLAB的NARX实现
- 动态神经网络时间序列预测研究——基于MATLAB的NARX实现