rbfn 中文意思是什麼
rbfn
解釋
徑向基函數網路-
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
提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。 -
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
針對這一問題，文中提出了一種全自適應的不對稱高斯基函數網路（ agbfn ）結構，網路的基函數採用具有不對稱寬度的偽高斯函數，和常規的高斯函數相比，具有更大的可變性和延展性，從而使得隱層神經元在函數近似上具有更高的適應性，提高了神經網路的學習能力。 -
Prediction model of batch pulp cooking end point based on rbfn - pcr approach
方法的制漿蒸煮終點預測模型 -
On modeling a fuzzy system based on bpn and rbfn
網路的模糊系統建模 -
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
最後介紹了加氫裂化裝置的生產工藝流程，建立了基於bf網路與rbf網路的加氫裂化航煤干點的預測模型，並提出了航煤干點基於神經網路辨識的動態矩陣預測控制方案，為實現航煤干點的在線質量控制打下了基礎。 -
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
與徑向基網一偏最小二乘（ rbfn一plsr ）方法相比， a一svm方法的擬合精度和預測能力均有明顯的提高。 -
Rbfn and its application for structural damage recognition
神經網路及其在結構損傷識別中的應用研究 -
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網路分類學習模塊rbf網路分類學習模塊包括rbf網路的學習演算法、組合網路分類器的學習過程以及組合網路分類器的識別過程等三個部分。 -
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 )
本文在總結當前主流雷達目標識別演算法的基礎上，建立起基於gbr的雷達目標識別系統，並且對彈道導彈的各種特識別方法進行了研究，主要進行的工作和創新有: 1 .研究和總結了當前常用的分類識別方法，針對雷達目標識別的特點，對近鄰分類器、多層感知器和徑向基函數網路（ rbfn ）分類器的演算法和性能進行了研究。
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