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- The result of simulation shows the fuzzy neural net work control is practicable and its control accuracy takes the precede nce over the traditional methods. 通过仿真证明了模糊神经网络控制的可行性，控制精度优于传统方法。
- Abstract: This paper analyses the determinate and indeterminate fa ctors in blasting,presents a method of dealing with indeterminate factors,and se ts up an intelligent designing system for blasting by combining fuzzy neural net work with AutoCAD. 文摘:对爆破对象的确定与不确定性因素进行了分析，提出了不确定性因素的描述方法，构造了智能爆破设计系统中的模糊神经网络模型，并就系统与CAD的集成进行了分析.
- In this system, we use, which is innovated, the FNN (fuzzy neural net) to syncretize the voltage data and current data.In this way, the discharge condition can be well and truly identified. 在该系统中,用模糊神经网络来融合间隙电压和间隙电流两种信息,能更准确地识别放电状态。
- recursive fuzzy neural net controller 递归模糊神经网络控制器
- Research of Target Recognition Based on Fuzzy Neural Net Work 基于模糊神经网络的目标识别研究
- The application of Fuzzy Neural Net In Time Lag System 模糊神经网络在时滞系统中的应用
- Realization of DTC Frequency Converter Based on Fuzzy Neural Net 基于模糊神经网络的直接转矩控制变频器的实现
- A Study on the Quotation System of Die and Mold Based on Fuzzy Neural Net 基于模糊神经网络的模具报价系统研究
- Neural nets are also supposed to learn. 神经网络也可假定为可以学习。
- fuzzy neural nets 模糊神经网络
- fuzzy neural net 模糊神经网络
- fuzzy neural net model 模糊神经网络模型
- It fuses strongpoint of both neural net and fuzzy system and adept to mine rules in database especially. 由此，本文提出了用模糊神经网络来进行数据库中的规则发现。
- His interests include grid computing, neural nets, and artificial intelligence. 他的兴趣包括网格计算、神经网络和人工智能。
- 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。
- This paper put forward fuzzy control based on neural net, it influxes the advantage of fuzzy logic and neural net, gathers learning, association and self-adaptation together. 本论文提出了基于神经网络的模糊逻辑控制，它汇集了模糊逻辑与神经网络各自的优点，集学习、联想、自适应于一体。
- This would be accomplished by training a neural net to make two cuts. 把神经网络培训成能实现两个切割就可完成这种工作。
- Finally, the outputs of every classify GMM will be fused by Neural Net (NN). 并采用神经网络实现各个分类高斯混合模型输出的融合。
- 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。
