1) generalized dynamic fuzzy neural network
广义动态模糊神经网络
1.
For this characteristic,a generalized dynamic fuzzy neural network was used in identification of thermal complex systems.
针对热工过程难以建立精确数学模型的特点,将广义动态模糊神经网络应用于热工复杂系统的辨识。
2) general stochastic neural network
广义随机模糊神经网络
1.
A general stochastic neural network(GFSNN),which membership functions are general Gaussian functions and are adaptable,is proposed to predict chaotic time series,and the model s structure and parameters are optimized by the algorithms of GA-Annealing strategy and are applied to forecast stochastic chaotic time series.
针对随机模糊神经网络缺乏自适应性,引入广义高斯函数和广义随机模糊神经网络,使系统中隶属函数具有自适应性;并对参数进行遗传退火算法优化,使系统具有最佳结构和参数。
3) Broaden weighted fuzzy neural network
广义加权模糊神经网络
4) GFNN (Generalized Fuzzy Neural Network)
广义模糊神经网络GFNN
1.
GFNN (Generalized Fuzzy Neural Network) , which integrates the advantages of Neural Network into that of the Fuzzy Logic System, is a powerful method in the modeling of the nonlinear system.
广义模糊神经网络GFNN(Generalized Fuzzy Neural Network)集成了模糊逻辑系统和神经网络的优点,其具有的参数自学习和结构自调整算法给非线性系统建模提供了强大的工具。
5) Dynamic Fuzzy Neural Networks
动态模糊神经神经网络
6) DFNN
动态模糊神经网络
1.
An improvement for dynamic fuzzy neural network (DFNN) was presented to avoid its running into the local extreme.
针对动态模糊神经网络(DFNN)在进行预测应用时容易陷入"局部极值"的缺陷,提出一种改进方案。
2.
A DFNN(Dynamic Fuzzy Neural Network) is constructed by introducing recursion segment into the fuzzy neural network,which is trained using genetic a.
在模糊神经网络内部引入递归环节,构成了动态模糊神经网络DFNN(DynamicFuzzyNeuralNetwork),并采用具有全局寻优能力的遗传算法训练网络,克服了单纯BP算法易陷入局部最优解的缺点。
补充资料:广义
范围较宽的定义(跟‘狭义’相对):~的杂文也可以包括小品文在内。
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