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- state space neural network 状态空间神经网络
- A backpropagation neural network is adopted to generalize the large input state space to reduce memory requirement. 为降低存储需求，算法引入了反向传播神经网络用于泛化其输入状态空间。
- A multi-step Q-learning algorithm was employed to overcome the slow convergence rate of standard Q-learning, and CMAC neural network was used to generalize the continuous state space. 为解决连续过程的学习问题，采用CMAC神经网络对连续状态空间进行泛化。
- Keywords artificial neural network （ANN）;process control system;identification;neural state space;diagonal recurrent neural network （DRNN）;adaptive control;modified genetic algorithm （MGA）;decoupl 人工神经网络;过程控制系统;辨识;神经状态空间;对角回归神经网络;自适应控制;改进的遗传算法;解耦控制;预测控制;
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- In order to conquer the state space exploring,Hierarchical Task Network(HTN) planning technology has been presented. 为了克服经典状态空间规划中的状态空间的指数爆炸问题,研究者们提出了分层任务网络规划(HTN)技术。
- In order to conquer the state space exploring，Hierarchical Task Network（HTN） planning technology has been presented. 摘要 为了克服经典状态空间规划中的状态空间的指数爆炸问题，研究者们提出了分层任务网络规划（HTN）技术。
- The neural network can preferably solve the non-linear problem. 利用神经网络建模可以较好地解决非线性问题。
- ESN (Echo state network) is a new type of RNN (recurrent neural network) based on the "reservoir". 该方法基于一种具备“储备池”机制的新型递归神经网络：回声状态网络(ESN)。
- Keywords: VBARX, system identification, state space model, modal parameters. 关键词：VBARX、系统识别、状态空间、模态参数。
- Wavelet-based and neural network papers from the Journal Network! 详细说明:基于小波和神经网络的论文,来自期刊网!
- The Research on the Chaotic Neural Network Encoding? 混沌神经网络编码研究?
- Convergent rate of certain neural network models s. N. 一类神经网络模型的平衡点的收敛速率。
- A multiple ARX model has been set up based on the state space theory. 从状态空间理论出发,建立多维ARX模型,推得了结构的模态参数。
- Neural Network Inverse Control of Two-motor Synchronous System P. 中国科学技术大学中国科学技术大学两电机同步系统的神经网络逆控制。
- A multi-variable process may be imaged to a multidimensional state space. 化工过程中存在多种状态,多变量过程可以在多维的状态空间中描述。
- And carry out a neural network deign and simulation with MATLAB. 并用MATLAB仿真的方法进行神经网络的设计和模拟。
- Martin Hagan, Howard Demuth and Mark Beale. Neural Network Design. 戴葵等译.;神经网络设计
- We use neural network because of its simpleness and accurateness. 使用神经网络来进行客户离网预警的优点在于其模型建立简单，识别精度高。
- The theory of Fuzzy ARTMAP(FAM) neural network was described. 介绍了fuzzy ARTMAP(FAM)神经网络的一般原理。
