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- The improved EBP neural network algorithm is used in this system. 提出了对传统EBP神经网络算法的改进方法。
- Good self-organizing neural network algorithm, the procedure Notes. Can run, the results were OK. 详细说明:不错的自组织神经网络算法,程序有注释。能运行,效果还行。
- This viewer displays mining models that are built with the Microsoft Neural Network algorithm. 该查看器显示使用Microsoft神经网络算法生成的挖掘模型。
- Using the response characters of GR,Rd,Rs,AC,DEN and CNL,a discrimination model with neural network algorithm is built. 在此基础上,又利用自然伽玛(GR)、深浅侧向电阻率(Rd,Rs)、声波时差(AC)、密度(DEN)、中子孔隙度(CNL)的响应特征,建立了神经网络识别模型。
- Genetic neural network algorithm proves with a stronger antinoise ability than other ones. 结果遣传神经网络分割算法的抗噪声能力强于其他算法;
- The Microsoft Neural Network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons. Microsoft神经网络算法通过构建多层感知器网络来创建分类和回归挖掘模型。
- In the light of the target recognition based on MMW/IR fusion, a new neural network algorithm for the decision fusion is presented in this paper. 该文针对毫米波/红外传感器融合目标识别问题;提出一种新的用于决策层目标识别的神经网络融合算法.
- 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 analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect. 分析了SOM神经网络算法在FPGA实现过程中要考虑的2个主要问题:并行性和有限字长效应。
- The Microsoft Logistic Regression algorithm is a variation of the Microsoft Neural Network algorithm, where the HIDDEN_NODE_RATIO parameter is set to 0. Microsoft逻辑回归算法是Microsoft神经网络算法的变化形式,其中将HIDDEN_NODE_RATIO参数设置为0。
- A improved BP neural network algorithm with the stability of the steepest descent method and the speed performance of the Newton approach method is educed. 导出一种既有最速下降法的稳定性又有牛顿法的快速性的新算法；
- Artificial neural network algorithm for the classic, very conducive to learning artificial neural networks. 详细说明:人工神经网络的经典算法,非常利于学习人工神经网络。
- In order to improve the error compensation precision on sensors, a method of the error compensation on sensors using the neural network algorithm with orthonormal basis functions is proposed. 为了提高传感器的误差补偿精度;提出了一种基于正交基神经网络算法的传感器误差补偿方法.
- Based upon this subsection function fitting,artificial neural network algorithm and other methods are proposed to raise fitting accuracy in order to reduce error to obtain correct test results. 比较研究了混凝土无损检测中的三种常用测强曲线的拟合精度,在此基础上,提出了分段函数拟合,人工神经网络算法等提高曲线拟合精度的一些方法和措施,以得到正确的测试结果。
- This paper provides a new design approach based on a Neural Networks Algorithm(NNA). 该文提出了一种用神经网络算法来设计二维线性相位数字滤波器的新方法。
- In the light of the target recognition based on MMW/IR fusion,a new neural network algorithm for the decision fusion is presented in this paper.The architecture of this network is novel. 该文针对毫米波／红外传感器融合目标识别问题，提出一种新的用于决策层目标识别的神经网络融合算法。
- Classification algorithms include the Microsoft Decision Trees, Microsoft Naive Bayes, and Microsoft Neural Network algorithms. 分类算法包括Microsoft决策树、Microsoft Naive Bayes和Microsoft神经网络算法。
- The optimum design method and example on the linear phase differentiator based on the neural networks algorithm are presented. 提出了一种基于神经网络算法的线性相位微分器优化设计方法,给出了线性相位微分器的优化设计实例。
- The FCFS can be divided into four steps: base time calculation,virtual simulation process,matching calculation and adjustment calculation. In the realizing process of the FCFS,job point,job chain model and neural network algorithms are adopted. 利用FFCS方法进行仿真分为基准计算、虚拟仿真推进、匹配计算和调整量计算4个步骤,并在方法的实现过程中采用作业节点、作业链模型和神经网络算法。
- The data mining model combined with neural networks algorithm and genetic algorithm make the MF nodes arrangement and establishment location predictable and auto-adaptive under the future conditions. 采用神经网络与遗传算法相结合的数据挖掘模型，能够使整个物流网络布局和设施选址对于未来的情况具有预测性和自适应性。
