When error goal is 0. 01 and speed constant of radial basisfunction is 4, the network achieves optimization, and the total correct rate is 96%.
结果表明当目标误差为0.01,径向基函数的分布常数为4时,网络达到最优化,总的正确识别率为96%。
2
An efficient model based on radial basisfunction neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
3
This research USES rough sets to reduce this factors, then adopts radial basisfunction networks to predict and diagnose the continuous casting slab defect.