A Modified Incremental Learning RBF Neural Network in Image Guidance
Received date: 2010-06-02
Online published: 2025-05-28
梁涛 , 李庆震 , 赵久奋 , 刘宁 . 图像制导中的一种改进增量学习RBF神经网络[J]. 弹箭与制导学报, 2010 , 30(5) : 63 -65,72 . DOI: 10.15892/j.cnki.djzdxb.2010.05.066
To cover the shortage of existing artificial neural network system in automatic target identification algorithm of the image guidance system,the automatic target identification technology based on radial basis function neural network was studied to accelerate the convergence.The value function of hidden level neuron was created as an index of neuron growing and pruning strategy.An incremental learning resource allocating network（IL-RAN） was constructed to learn and online classify the target.The experimentalanalyses proved that with this algorithm,the smaller network within the error bound can be constructed,the connection between the network paramater selection and idintification error was established.Both the calculation and time were reduced.
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