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实时最小二乘算法的神经网络实现
Neural Networks Implementing Via Real-time Least Squares Algorithms
【摘要】 本文提出了一种求解最小二乘问题的神经网络模型。理论分析和模拟结果表明:该网络是稳定的并且能在电路时常数数量内获得近似解。
【Abstract】 In this paper, we presents a neural networks modeling to solve real-time least squares(RLS)problems. We show that by theoretical analysis and by simulatlons this networks isstable . and that it is guaranteed to provide arbitrarily approximate solutlons to the accurateRLS ones within a few of the circuit time constants of this network,therefore this network isvery applicable to process the RLS problems.
- 【文献出处】 吉首大学学报(自然科学版) ,Journal of Jishou University(Natural Science Edition) , 编辑部邮箱 ,1996年02期
- 【分类号】TP18
- 【下载频次】59