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- LI Min,YE Zhi-qian.Monitoring the depth of anes-thesia using a fuzzy neural network based on EEG[J].Chinese Journal of Medical Instrumentation,2006,30 (4):253-255. [5]李敏;叶志前.;基于模糊神经网络的麻醉深度的监测研究[J]
- The theory of Fuzzy ARTMAP(FAM) neural network was described. 介绍了fuzzy ARTMAP(FAM)神经网络的一般原理。
- Implementation of Fuzzy Systems using Multi-layered Neural Network. 使用多层的类神经网路来实作模糊系统.
- A new fuzzy neural network controller is designed in the winding machine. 在玻璃钢缠绕设备的控制系统中,设计了一种新型模糊神经网络控制器。
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合，构成模糊强化系统。
- A 4-digit display is optionally available for directly displaying the MIN MAX memory and tare functions, plus other parameters depending on the main display. 可选购的4位半的读数仪表可以直接显示最大,最小的记录值和皮重功能,另外的参数显示在主显示屏。
- T4C All church Thanksgiving Baptismal Service this Friday (11/24) 7:30 pm. Please prepare in advance to share during our open mic testimony time (3 min max). 今日崇拜后;欢迎各位与我们共聚感恩午餐.;地点:本教会的饭堂
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented. 摘要论述了模糊系统和神经网络相结合的非线性系统辨识理论。
- This paper presented a road-tunnel-longitudinal-ventilation control model based on fuzzy neural network. 提出了一种基于模糊神经网络的公路隧道纵向通风控制模型。
- This paper describes a method of angle of sideslip calibration using a fuzzy neural network model. 叙述了一种利用模糊神经网络模型来校正侧滑角的方法。
- Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network. 研究了模糊聚类分析在多变量模糊神经网络的结构确定中的应用。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- Its principal constituents are fuzzy logic, neural network and evolutional computing. 它主要由模糊逻辑、神经网络、进化计算等组成。
- Ad-hoc network congestion and rate control scheme based on fuzzy neural network(ACRC)is proposed. 提出了一种适用于移动组网的拥塞控制机制(ACRC)。
- The paper studies the neural network method of active jamming simulation, and discusses the sample date, network structure, pass function, max training step and training error. The simulation results prove that the method is practicable. 讨论了用 BP神经网络对有源干扰进行仿真的方法 ,首先是确定神经网络的样本数据 ,然后确定神经网络的结构、传输函数 ,网络的最大训练步数和训练误差 ,最后给出了网络的仿真结果和仿真误差 ,仿真结果令人满意
- Fuzzy neural network with incremental learning ability (FNN-IL) was proposed to predict financial time series. 提出使用一种具有增量学习能力的模糊神经网络(FNN-IL)应用于金融时间序列的预测。
- The neural network can preferably solve the non-linear problem. 利用神经网络建模可以较好地解决非线性问题。
- Wavelet-based and neural network papers from the Journal Network! 详细说明:基于小波和神经网络的论文,来自期刊网!
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
