神话思维不回避矛盾的原逻辑特点使《庄子》意象具有多面性，体现在文本上则是模糊混沌特征；
Its characteristic of pre-logic makes some of Zhuang Zi's images be self-contradictory, which leads to the textual obscure style.
确定了模型的输出函数，并推导了模型的学习算法，仿真结果表明永磁同步电机的模糊混沌神经网络模型与原系统是等价的。
It established the model's output mathematic function and learning algorithm. Computer simulations showed the equivalence of fuzzy chaos neural network model and the original chaotic system.
最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
设计了基于CAN总线的预焙铝电解槽计算机控制系统的总体方案及基于混沌优化的电解质温度模糊控制器。
The computer control system scheme of Aluminum electrolytic cell based on CAN bus and Fuzzy controller based on chaos optimization are designed.
带子的前3/4已经被抹掉了；努力使自己保持清醒，以便能快进过这些混沌的被抹去的部分——在这里，味觉和嗅觉只有模模糊糊的单一感觉，而一片黑暗之中什么也听不见，偶尔传来的只有白噪音的沙沙声。
The first three quarters of the cassette had been erased; you punch yourself fast-forward through a static haze of wiped tape, where taste and scent blur into a single channel.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
将非线性混沌系统模糊化为局部线性模型。
The nonlinear chaotic system has been fuzzy into local linear model.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
基于混沌变量，本文提出一种模糊控制器最优设计方案。
Based on chaos variables, an optimal design scheme for of fuzzy controller is proposed in the paper.
研究了离散混沌系统模糊变结构控制问题。
The problem of fuzzy variable structure control of discrete chaotic system is studied.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
采用T - S模糊模型描述离散混沌系统，将离散混沌系统模糊化为局部线性模型。
Discrete chaotic system is described based on T-S fuzzy models, and the system is exchanged into local linear model with fuzzy method.
为了避免模糊控制器设计过程中参数的大量调试工作，并使其具有最佳的控制性能，本文首次将混沌优化方法应用于模糊控制器参数设计。
In order to improve the control performance and avoid a great deal of adjusting work of the parameters, we applied chaos optimization method in design of fuzzy controller firstly.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
对模型未知的子系统是多维的连续时间耦合系统的时空混沌提出了自适应模糊控制方法。
An adaptive fuzzy control scheme is presented to control model unknown coupled spatiotemporal chaos composed of high-dimensional continuous-time subsystems.
从万物起源的混沌，到未来的模糊不定！
The Universe was initiated from a chaos, directing to a blur and an uncertain future!
今晚只有邻近少数微弱的、模模糊糊的灯光能够透过这几乎是一片混沌，被风刮起来的雪幕。
Tonight only a faint blur of a few nearer lights penetrated the almost-opaque curtain of wind driven snow.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
本文研究了一类混沌编码信号，利用混沌信号进行雷达信号的相位编码，并且计算了这类编码信号的模糊函数。
This paper analyzes a kind of chaotic modulation signals, the phase-modulated radar signals are generated by chaotic signals, at the same time the ambiguity function of the coded signals is given.
本文研究了一类混沌编码信号，利用混沌信号进行雷达信号的相位编码，并且计算了这类编码信号的模糊函数。
This paper analyzes a kind of chaotic modulation signals, the phase-modulated radar signals are generated by chaotic signals, at the same time the ambiguity function of the coded signals is given.
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