补偿模糊神经网络 meaning in Chinese
cfnn
Examples
- Fermentation process modeling based on recurrent compensatory neuro - fuzzy network
基于递归补偿模糊神经网络的发酵过程建模 - Application of compensation fuzzy neural networks in forecasting model of thermal error in machine tools
补偿模糊神经网络在机床热误差预报模型中的应用 - Through the introduction of compensatory fuzzy inference and quick arithmetic , the property of compensatory fuzzy neural networks is superior to that of common fuzzy neutral networks
通过补偿模糊推理和快速学习算法的引入，使得补偿模糊神经网络在性能上优于一般的模糊神经网络。 - The other is an improved fuzzy neural network that is joined a compensative operation layer and adopts the improved center - or - gravity defuzzication in feedforward fuzzy neural network based on gaussian fuzzy logical system
其二是改进的补偿模糊神经网络。该网络在基于高斯模糊逻辑系统的前馈模糊神经网络中加入了补偿运算层和采用了改进型中心反模糊化器。 - In this paper , some key factors in the process of composite liquid - solid extrusion had been researched through a large amount of experiments and the common rules of composite liquid - solid extrusion had been obtained . the sample data was built and the common fuzzy rule was set up through analyzing the experimental data collected during the experiments . the fuzzy neural network model of composite liquid - solid extrusion had been set up , the sample data had been fitted and the accurate fuzzy rule had been concluded through training the fuzzy neural model with the sample data
本文通过大量的试验，对液-固挤压成形工艺中的影响因素进行了研究，初步掌握了该成形工艺的一般规律；在分析实验数据的基础上确定了实验样本集，并初步确定了该工艺系统的模糊推理规则；利用模糊神经网络技术对液-固挤压工艺系统进行建模，实现了对样本数据的良好拟合；补偿模糊神经网络在训练过程中能够根据样本动态调整网络参数，提取较为准确的模糊推理规则；通过利用该工艺系统模型进行参数预测，得到了与实验数据吻合较好的预测结果。