Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
The adaptive compensation term of the optimal approximation error is adopted to minimize the influence of the modeling error and the parameter estimation error.
并通过引入最优逼近误差的自适应补偿项来消除建模误差和参数估计误差的影响。
And in the each adaptive subdivision, we choose the normal angle of the adjacent faces as the control error to detect whether the approximation is sufficient.
在自适应细分过程中，用相邻面片的法向夹角作为控制误差来反映细分的逼近程度是否足够；
Adaptive sampling algorithm of surface play an important role in evaluation of profile deviation and surface triangular approximation.
曲面轮廓度误差评价和多边域逼近均要求对理论曲面进行数字化自适应采样。
To solve dynamic bandwidth allocation, this paper use adaptive stochastic approximation algorithm to compute true bandwidth requirement of the aggregated ON/OFF traffic.
本文运用自适应随机逼近算法研究了ON/OFF信源模型的带宽估计及接入问题。
Based on the approximation capability of fuzzy logic systems, a design method of an adaptive fuzzy logic controller is given for a class of nonlinear discrete time systems.
针对一类非线性离散时间系统，根据模糊逻辑系统的逼近性质，给出了一种自适应模糊逻辑控制器的设计方法。
Simulation results show that this identification method has excellent approximation ability, and system of adaptive inverse control has good robustness and performance.
仿真结果表明，该辨识方法具有良好的逼近能力且自适应逆控制系统具有良好的鲁棒性。
Furthermore, adaptive laws presented in most schemes all adjust optimal approximation parameter vectors.
另外，大多方案提出的自适应律都是对最优逼近参数向量进行自适应调节。
The adaptive compensation term of the approximation error is introduced to improve the control performance of the closed-loop system.
为改善控制系统的性能，引入逼近误差的自适应补偿项。
Furthermore, the self-adaptive weights arc obtained from the Gaussian distance ration in cluster approximation, which can lead to the more accurate clustering results.
此外，该算法采用近似集合中的高斯距离比例来表现样本权重，从而可以在多种数据分布上得到更精确的聚类结果。
A blind adaptive algorithm based on the stochastic approximation is discussed and then the performances of these detection rules are analyzed.
然后介绍一种基于随机估计方法的盲自适应算法。最后对这三种判决准则进行性能分析。
A blind adaptive algorithm based on the stochastic approximation is discussed and then the performances of these detection rules are analyzed.
然后介绍一种基于随机估计方法的盲自适应算法。最后对这三种判决准则进行性能分析。
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