DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
We present a new neural network algorithm for blind source separation.
本文提出了一种新的盲信号分离的神经网络算法。
A new neural network algorithm for the planarity testing problem is presented.
给出了平面测试问题的一种新型的神经网络算法。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
The neural network algorithm showed accuracy rate of 84.8% for normal liver and 90.9% for fatty liver.
自组织特征映射人工神经网络对正常肝的识别正确率达84.8% ，对脂肪肝的识别正确率达90 .9%。
Accordingly, the rough neural network algorithm in the paper has more important value and prospect of application.
由此该文探讨的粗糙神经网络算法具有较高的应用价值及应用前景。
Under the same condition, the precision and speed of fuzzy neural network algorithm was better than that of neural network.
实验证明，模糊数据曲线确定的网络结构是接近最佳的，在训练速度和精度方面，效果优于神经网络建模算法。
License plate recognition, neural network algorithm, the recognition rate as high as 95 percent, to identify less than 80ms.
详细说明：车牌识别，神经网络算法，识别率高达95%，识别时间低于80ms。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
The BP neural network algorithm is designed for safety classification and a case study has indicated the feasibility of the classification method.
计算结果表明，本文所述的分级方法是可行的。
The neural network algorithm is formulated and the controller is designed. Simulation research is carried out by taking full advantage of a computer.
阐述了神经网络学习算法，设计了高速公路可变速度标志神经网络控制器，并对控制器进行了仿真研究。
This paper analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect.
分析了SOM神经网络算法在FPGA实现过程中要考虑的2个主要问题：并行性和有限字长效应。
It extracted eigenvalues from pretreated medical images, and then classified medical images by using classifier based on improved wavelet neural network algorithm.
将经过预处理的医学图像提取特征值，然后利用基于改进的小波神经网络算法的分类器对医学图像进行分类。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
A new terrain matching neural network algorithm mode is constructed by means of multi-feature fusion, which includes different statistical and geometrical features.
提出了基于神经网络实现多特征融合的地形匹配算法，充分利用地形的各种不同的统计特征和几何特征，构造了一种地形匹配网络模型。
To improve early diagnosis accuracy of breast cancer, an improved wavelet neural network algorithm combining wavelet theory with neural network theory was proposed.
为了提高乳腺癌早期诊断的准确率，将小波理论与神经网络理论相结合提出改进的小波神经网络算法。
A new terrain matching neural network algorithm mode is constructed by means of multi-features fusion, which includes different statistical and geometrical features.
提出了一种多特征融合的地形匹配算法，充分利用地形的各种不同的统计特征和几何特征，构造了一种地形匹配网络模型。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
Investigate the rough sets theory and BP neural network algorithm, and how to combine the two that for constructing a natural fractures intelligence identification application.
研究粗糙集理论和BP神经网络算法，以及如何结合两者构建天然裂缝智能识别的应用。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast.
在算法库中，除了部分的常规预测算法，如滑动平均、指数平滑、线性回归等，还加入了BP神经网络算法进行预测。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
最后，本算法与BP神经网络和多项式拟合算法比较，色彩转换精度有明显提高。
The Compensated Fuzzy-Neural network algorithm and the rules of the fuzzy control are applied to the system.
该系统控制采用了补偿模糊神经网络算法和逐级模糊控制规则。
Based on BP neural network, algorithm transforming CMY to XYZ color space was dis - cussed. Working flow of transforming algorithm was given and algorithm model was established.
对基于BP神经网络的CMY到xyz颜色空间转换算法进行了探讨，给出了算法工作流程并建立了模型。
Based on BP neural network, algorithm transforming CMY to XYZ color space was dis - cussed. Working flow of transforming algorithm was given and algorithm model was established.
对基于BP神经网络的CMY到xyz颜色空间转换算法进行了探讨，给出了算法工作流程并建立了模型。
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