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Chinese translation for "rbfn"

径向基函数网络
Example Sentences:
1.On modeling a fuzzy system based on bpn and rbfn
网络的模糊系统建模
2.Rbfn and its application for structural damage recognition
神经网络及其在结构损伤识别中的应用研究
3.Prediction model of batch pulp cooking end point based on rbfn - pcr approach
方法的制浆蒸煮终点预测模型
4.Comparing with radial basis function neural network - partial least square regression ( rbfn - plsr ) methods , a - svm was superior in both fitting accuracy and prediction performance . the proposed al
与径向基网一偏最小二乘( rbfn一plsr )方法相比, a一svm方法的拟合精度和预测能力均有明显的提高。
5.3 . neural network module the module includes the arithmetic of sample data ' s self - learning , such as , rbfn ( redial basis function network ) arithmetic . 4
( 3 ) rbf网络分类学习模块rbf网络分类学习模块包括rbf网络的学习算法、组合网络分类器的学习过程以及组合网络分类器的识别过程等三个部分。
6.Compared with the classical rjbfn , hrbfn is more suitable for application fields with hierarchical characteristics . in addition , hrbfn can partially solve the problem of the rapid increasing of the hidden nodes when the dimension of input increasing
Hrbfn更适合于具有层次结构的应用领域,并且hrbfn还能够部分消除使用rbfn会造成隐节点随着输入变量数目增加而急剧增多的问题。
7.In this dissertation , base on the review and analysis of current mainstream algorithms and techniques , we build up whole rtr system , and study some efficient recognition methods for different radar characters . the major research work and contributions in this dissertation are summarized as below : 1 . summarized current popular pattern recognition methods , this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier , multi - layer perceptron and rbfn ( radial basis function network )
本文在总结当前主流雷达目标识别算法的基础上,建立起基于gbr的雷达目标识别系统,并且对弹道导弹的各种特识别方法进行了研究,主要进行的工作和创新有: 1 .研究和总结了当前常用的分类识别方法,针对雷达目标识别的特点,对近邻分类器、多层感知器和径向基函数网络( rbfn )分类器的算法和性能进行了研究。
8.In algorithms , classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model . four classification algorithms , the bata - prime statistic model fusing quadratic gamma classifier , based on sar image rcs reconstruction and space position mode , on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model , are derived . the problems , including how to further improving the class ratio of the bayes decision , decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples , are solved
提出了基于径向基函数神经网络( rbfn )的双隐层混合网络( mdhrbfn )模型,解决了标准神经网络在具体sar图像地物分类中分类类别数目不够和分类精度差的问题;提出了基于模糊推理系统的自适应模糊rbfn分类( afrbfn )模型,兼顾通用性与精确性,增强人机交互能力,进一步提高了算法分类率。
9.In the end , on the basis of introducing technical flow in hydrocracking units , two predictive models of jet fuel endpoint in hydrocracking units are built based on bpnn and rbfn , a new dmc project using the neural networks as the identified model is proposed , and it provides good conditions for online quality control of jet fuel endpoint
最后介绍了加氢裂化装置的生产工艺流程,建立了基于bf网络与rbf网络的加氢裂化航煤干点的预测模型,并提出了航煤干点基于神经网络辨识的动态矩阵预测控制方案,为实现航煤干点的在线质量控制打下了基础。
10.Furthermore , due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function , the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn . because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one , the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily
针对这一问题,文中提出了一种全自适应的不对称高斯基函数网络( agbfn )结构,网络的基函数采用具有不对称宽度的伪高斯函数,和常规的高斯函数相比,具有更大的可变性和延展性,从而使得隐层神经元在函数近似上具有更高的适应性,提高了神经网络的学习能力。
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