Chebyshev approximation; Gaussian processes; covariance matrices; fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); pattern classification; eT2Class; evolving type-2 classifier; flexible working principle; incremental interval type-2 neural fuzzy classifier; local nonlinear Chebyshev polynomial; local working principle; loosely coupled fuzzy submodels; multivariate Gaussian function; sequential working principle; single-pass learning fashion; type-1 fuzzy classifier; type-2 fuzzy neural network architecture; uncertain nondiagonal covariance matrixes; Chebyshev approximation; Complexity theory; Context; Covariance matrices; Fuzzy neural networks; Uncertainty; Evolving Fuzzy Systems; Fuzzy Neural Networks; Sequential Learning; Type-2 Fuzzy Systems;
机译:具有片内增量学习能力的区间2型神经模糊芯片,用于时变数据序列预测和系统控制
机译:区间2型Takagi-Sugeno-Kang模糊神经网络的滑模增量学习算法
机译:通过软边际最小化学习的区间2型神经模糊分类器及其人体姿势分类应用
机译:增量间隔Type-2神经模糊分类器
机译:通过使用间隔Type-2建模和基于一般类型-2模糊逻辑代理的方法引入不确定性来引入基于集合的设计实践的增强
机译:使用单遍方法的数据流增量间隔2型模糊聚类
机译:基于区间2型模糊集的模糊神经网络基于相应输入空间的遗传设计