Search - recurrent fuzzy neural network

Search - recurrent fuzzy neural network - List

[Documents] lubang DL : 0: 电液伺服系统的动态递归模糊神经网络辨识与鲁棒控制研究优秀的博士论文-Electro-hydraulic servo system dynamic recurrent fuzzy neural network identification and robust control of outstanding doctoral thesis research
Update : 2025-04-26 Size : 3.85mb Publisher : 李博
[matlab] BNonlearfilter DL : 0: 给于MATLAB 环境下的非线性滤波器。此设计中用到了，混合网络建模。B样条网络和对角递归神经元网络。-In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network.
Update : 2025-04-26 Size : 8kb Publisher : 庞宇
[AI-NN-PR] Recurrent-T-S-FNN DL : 2: 递归T-S模糊神经网络学习算法，用遗传算法优化参数-Recursive TS fuzzy neural network learning algorithm, using genetic algorithm parameters
Update : 2025-04-26 Size : 2kb Publisher :
[AI-NN-PR] Fuzzy-Neural-Network-by-matlab DL : 0: 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning.
Update : 2025-04-26 Size : 115kb Publisher : 林真天
[Technology Management] Hybrid-training-of-recurrent-fuzzy-neural-network DL : 0: matlab identification of cht
Update : 2025-04-26 Size : 33kb Publisher : ramin