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- A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data. 摘要角分类前向神经网络CC4可以快速对文本数据进行分类处理。
- An artificial neural networks model applied multi-layer feed forward neural networks with error back-propagation algorithm was established to evaluate offset ink printability. 应用基于误差反传原理的前向多层神经网络,建立了油墨印刷适性综合评价的人工神经网络模型。
- By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured. 采用前向神经网络建模的软测量方法 ,对造纸过程制浆工段的黑液波美度进行测量。
- Applies feed forward neural network to the N QUEENs question, and sdves the local minimization question using a rapid learning algorithm with variable learning factors. 采用前馈神经网络求解N-皇后问题，并用变学习因子的快速学习算法解决局部极小化问题，给出了几组搜索结果。
- Rational fraction multiplayer feed forward neural networks 有理式多层前馈神经网络
- Gauss-Newton Feed Forward Neural Network Based on Entropy Square Error Function 基于熵方误差的高斯牛顿前馈神经网络
- Edge Detection Based on Feed Forward Neural Network and Hopfield Neural Network 基于前向神经网络和Hop field 反馈神经网络的边界检测法
- Self- adaptation Analysis and Application of Convex Optimization Algorithm for Feed forward Neural Networks 前馈网络凸优化算法的自适应分析及应用
- Feed Forward Neural Networks 前向神经网络
- feed forward neural network 前馈神经网络
- A closed form initial guidance law based on feed forward and feedback neural network control for finite propulsive reentry spacecraft was presented. 提出了一种前馈反馈神经网络闭路初制导律。
- A predictive model for warpage is created using feed forward artificial neural network exploiting finite element analysis results. 建立了使用有限元分析结果的具有提前输入（功能）的人造神经网络的扭曲预制模型。
- Based on physical inference analysis on safety monitoring data of the dam, the feed forward Artificial Neural Network prediction model was established for the crest displacement. 在对大坝安全监测资料进行物理推断分析的基础上,针对水电站进水闸顶位移建立了基于前馈人工神经网络模型的预测模型。
- CMAC ( Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation. 小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络,结构简单,收敛速度快,易于实现。
- The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed. 将以误差反向传播为训练算法的前馈式人工神经网络(BP-ANN)首次用于中草药的裂解气相色谱谱图解析。
- The multilayer forward neural networks are used to establish the inverse kinematics models for robot manipulator. 采用多层前向神经网络建立机械手逆运动学模型。
- Abstract The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed. 摘要将以误差反向传播为训练算法的前馈式人工神经网络(BP-ANN)首次用于中草药的裂解气相色谱谱图解析。
- Structure of multi-layer feedback forward neural network is optimized using an improved particle swa... 实验证明,该方法检测准确性较高,具有鲁棒性和高效率。
- First, image frizzy sets were taken as character space, and then the exact position was optimized by the 3 layer forward neural network algorithm. 该算法将图像模糊集作为特征空间，尝试了在模糊域中采用神经网络学习算法进行精确寻优。
- This paper introduces the blind source separation and the principle of BSS algorithm based on neural network,expounds the forward neural network BSS algorithm based on variable momentum term,and makes the computer simulation experiment. 介绍了盲源分离及基于神经网络盲源分离算法的原理,阐述了基于变动量项前馈神经网络盲源分离算法,并进行了计算机仿真实验。
