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Genetic RBF network in Textile Dyeing Color Matching

The simulation results were again 0-3 samples compared with the original proofing, color error of 4.5 is within the scope allowed to achieve the desired results. Convergence curve in Figure 2. From Table 2 and Figure 2 shows that, based on the genetic control o. 2 propagation algorithm of RBF neural networks produced less errors fabric dyeing. 0.1O 5 Conclusion In this paper,ugg prezzo, RBF neural network based on genetic matching fabric dyeing model were studied. 024o2Il training back. Application of RBF neural network 002 first to create a fabric dyeing color model, then the genetic algorithm loop 2 Gang genetic RBF network optimization of the convergence curve center of hidden layer, the width and the hidden layer to output layer weights. The results show that the model convergence speed,ed hardy clothing, stability, and applied to the field of fabric dyeing color matching is feasible. References: [1] Zhaolin Ming, Hu Haoyun,air jordan shoes cheap, Weide Hua,air jordans, et al. Multilayer feedforward neural network [M]. Zhengzhou: Yellow River Conservancy Press, 1999. [2] FUNGCF, BillingsSA, LwoW. On-lineSupervisedAdaptiveTrainingUsingRadialBasisFunctionNetworks [J]. NeuralNetworks, 1996,9 (9) :1597-1617. [3] BianchinM, FrasconiP, GoriM. LearningwithoutLocalMinimainRadialBasisFunctionNetworks [J]. IEEEThansNeuralNetworks, 1995,6 (3) :749-756. [4] Gu Qingwen, Chen Gang, Zhu Leilei, et al. Based on genetic algorithm and radial basis function neural network short-term marginal price forecasting [J]. Power System Technology, 2006,30 (7) :18-25. [5] GoldbergDE. GeneticAlgorithmsinSearch, Optimization, andMachineLearningFM]. NewYork: Addison-WesleYPublishersCompany, 1989. Zhu: Zhu! Zhu Zhu Huang !------- App-licati0n0fRBFNeuralNetworkBGeneticAIgoasedonrithminTextileDyeingColorMatchingZHANGBnin, gQ-sinenda,ugg milano,. WunAivNersitGyY, Qininggda. 266. 71, china) (Co11egeofInformationEngineering'Qmgda0uuVesu '... 5 ...'.: Themodelingandsimulatingpr Post oblemsoftextilecolordye-ing-pro-cesscerntyarediscussed.Considering three?.. Nano. A pl-a UUt ~ a =. tutAGA) ispTeSentenedcombi-method'aradialbase . function (RBF) Inbasaemetdoner0genfneetic ... alguttttwiit0rkA, xisoptimizedbythepro-ningwcharacte ... ristcofRBFneuralU-ra-lll ~. simulatresultssh ... owt, h. atoyemgposedmethod, whhisuse0ehuJbutals. 0hasgoOdgl0balsearchabmtythemodeln0Ionlyimproves1approximation. ybylb. p: ngintextiledyeing. androbustness. Themo ... del, chm; tiveresu �� ltedylorcolgorHIalor [UImngKeywords: RBFneuralnetworks; gecalgorithm ��exI. eu ... '

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