Recursive Least Squares (RLS)算法,以其高效的数据处理能力和自适应特性,在信号处理、控制系统及通信工程中扮演着重要角色。通过递归方式更新参数估计,RLS能够快速响应系统变化,特别适用于实时数据分析与预测。无论是初学者还是经验丰富的工程师,都能从我们精心收集的207个RLS相关资源中找到宝贵的学习资料和技术灵感,助力您掌握这一强大工具,提升项目性能。立即探索,开启您...
This function calculates Akaike s final prediction error
% estimate of the average generalization error for network
% models generated by NNARX, NNO...
This function applies the Optimal Brain Surgeon (OBS) strategy for
% pruning neural network models of dynamic systems. That is networks
% trained by...
Please carefully read the many features of your package and then write the specific function (at least 20 words). As far as possible not to let the st...
The Kalman filter is a set of mathematical equations that provides an efficient computational
[recursive] means to estimate the state of a process, i...
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in differen...