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机译:基于pi-sigma神经网络的高阶模糊时间序列方法
Department of Statistics, Faculty of Arts and Science, Forecast Research Laboratory, Giresun University,Department of Computer Science, College of Engineering Design and Physical Sciences, Brunel University London,Department of Computer Science, Babes-Bolyai University;
Department of Computer Science, College of Engineering Design and Physical Sciences, Brunel University London,Department of Computer Science, Babes-Bolyai University;
Department of Statistics, Faculty of Arts and Science, Forecast Research Laboratory, Giresun University;
Department of Econometrics, Faculty Of Economic and Administrative Sciences, Forecast Research Laboratory, Giresun University;
Fuzzy time series; Fuzzy relations; Pi-sigma neural network; Particle swarm optimization;
机译:基于人工蜂群训练的pi-sigma人工神经网络的直觉高阶模糊时间序列预测方法
机译:使用递归Pi-Sigma神经网络的物理时间序列预测
机译:区间值时间序列的建模:基于模糊集理论和人工神经网络的方法
机译:基于模糊递归神经网络的模糊时间序列预测方法
机译:一种使用时延神经网络从时间序列测量中对强迫动力系统建模的方法。
机译:使用奇异频谱分析模糊系统和神经网络的时间序列预测
机译:Jordan Pi-Sigma神经网络在温度时间序列信号预测中的应用
机译:过程建模的神经网络与模糊逻辑方法比较