在智能控制领域中，模糊神经网络是一项重要的研究课题。
Fuzzy neural network is an important research problem in the domain of intelligent control.
近年来，模糊神经网络因为其在机械、航天控制领域里的独特优势而成为该领域一个新的研究热点。
In the recent years, fuzzy neural network has become a new research hotspot of machine and aviation control field because of its special advantages.
在神经网络控制领域，倒立振子控制问题因为其代表性和复杂性，一直是一个典型的热点和难点问题。
In the neural network control area, the control of inverted pendulum is always a typical hot but difficult problem for its representative and complexity.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
遗传算法、神经网络与模糊控制是当前人工智能中的主要研究领域。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
本文通过对生化反应过程溶解氧神经网络控制方法的研究，探索和尝试了将神经网络智能控制技术引入水处理领域。
Through research on the control method based on neural network, this paper attempts introducing the technology of neural network intellectualized control into waste water treatment.
可辅助控制领域的工程技术人员，方便、快速、高效地开发基于神经网络的实时控制专家系统。
The NESDEV filled the gap between the developing tool and supporting environment used for the combined intelligent control system.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
本文在简单地介绍了神经网络之后，给出了神经网络在自动控制及其相关领域中的应用。
In this paper, the neural networks are introduced first. It's applications are then given in the automatic control and its relevant areas.
把BP神经网络的PID控制方法应用到工业领域的温度控制系统中，仿真结果表明：这种控制方法具有较高控制精度和较强的适应性以及良好的控制效果。
The BP neural network PID control method is applied to temperature control system in industry field. The simulation results show that the control method has high control accuracy,...
把BP神经网络的PID控制方法应用到工业领域的温度控制系统中，仿真结果表明：这种控制方法具有较高控制精度和较强的适应性以及良好的控制效果。
The BP neural network PID control method is applied to temperature control system in industry field. The simulation results show that the control method has high control accuracy,...
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