片语

direction-basis-function方向基函数

Radial Basis Function ANN类神经网路

Fuzzy Basis Function称为模糊基函数

radial basis kernel function径向基核函数

primary function[计] 主功能；[数] 基函数

correlated-basis-function theory相关基函数理论

Loop basis function环状基函数

orthogonal basis transfer function正交多项式基

radial basis transfer function径向基函数网络

英汉例句

• This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.

  这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。

• The traditional learning algorithm of a radial basis function network is separated two phases: unsupervised and supervised processes, calculating RBF centers and weights respectively.

  径向基函数神经网络的学习过程一般分为两个阶段：非监督学习和监督学习阶段，分别调整网络的中心和权值。

• In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.

  针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。

• The triangle vector basis function (RWG) is employed to simulate the current distribution.

  采用三角矢量面元(rwg)基函数，模拟电流分布。

• Miss distance parameters are estimated by matching pursuit algorithm to search the basis function which best matches the echo signal.

  通过匹配追蹤算法寻找与回波信号最匹配的基函数来确定脱靶量参数。

• The numerical example shows that increasing the item of radial basis function is not a right way to improve the accuracy of results, and more approximation functions should be employed in the DRBEM.

  计算结果表明增加径向基函数的项数并不是改善结果的好办法，应该将更多的函数引入双互易边界元法中。

• The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.

  在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。

• Characteristic basis function method (CBFM) in conjunction with method of moment (mom) is applied to analyze the radiation and scattering properties of large array structures.

  运用基于矩量法的特征基函数方法分析了大型阵列结构的电磁辐射与散射特性。

• When the error goal is 0. 01 and speed constant of radial basis function is 5, and the network achieves the optimization, and the total correct rate is 98%.

  当目标误差为0．01，径向基函数的分布常数为5时，网络达到最优化，总的正确识别率为98％。

• Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.

  文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。

• By using the electron correlated basis function of excited state, we calculate the effect of electron interaction on the bandwidth of conductive polymers.

  用激发态相关基函数理论，计算了电子-电子相互作用对导电聚合物能带宽度的影响。

• Performance of radial basis function network highly depends on the locations of radial basis function centers.

  径向基函数网络的性能在很大程度上取决于径基函数中心位置的选取。

• Fuzzy basis function network (FBFN) based on t s fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.

  给出了基于TS模型的模糊基函数网络(FBFN)，并提出了一种基于FBFN的未知系统故障信息检测通用方法。

• A sine basis function model is introduced, bringing forward an example of Hilbert convertor and differentiator optimal design.

  提出了一种正弦基函数神经网络模型，给出了海尔·伯特变换器与微分器优化设计实例。

• When error goal is 0. 01 and speed constant of radial basis function is 4, the network achieves optimization, and the total correct rate is 96%.

  结果表明当目标误差为0．01，径向基函数的分布常数为4时，网络达到最优化，总的正确识别率为96％。

• A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.

  提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。

• A reliable flight tracking control scheme is developed for a fighter in the presence of control surface failures based on adaptive asymmetric Gaussian basis function network (AGBFN).

  针对歼击机操纵面结构故障，提出了一种基于自适应不对称高斯基函数网络(agbfn)的可靠跟蹤控制方案。

• This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.

  提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。

• Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.

  径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。

• Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value.

  一定基函数之间的系数的比值保持固定在预定值。