...docin.com豆丁网 ) 误差信号: ek(n) = tk(n) - ak(n) 目标函数为基于误差信号ek(n)的函数，如误差平方和判据(sum squared error, SSE)，或均方误差判据(mean squared error, MSE, 即SSE对所有样本的期望) 学习..
基于2个网页-相关网页
...docin.com豆丁网 ) 误差信号: ek(n) = tk(n) - ak(n) 目标函数为基于误差信号ek(n)的函数，如误差平方和判据(sum squared error, SSE)，或均方误差判据(mean squared error, MSE, 即SSE对所有样本的期望) 学习..
基于2个网页-相关网页
Furthermore, in order to solve the model selection problems of unsupervised image segmentation, the sum of squared error criterion with penalty term is proposed.
而且，针对无监督图像分割的模型选择问题提出了带惩罚项的误差平方和阶次判定准则。
Based on fuzzy entropy rule and sum-squared error rule, a fuzzy learning method was presented. According to this method, BP neural network was used to model the performance of air-conditioning units.
基于模糊熵准则和误差平方和准则建立了模糊学习算法，基于该模糊学习算法，应用BP神经网络对柜式空调机组的性能进行了模拟。
The optimization function is defined to be the sum of the squared error between the previous trace and the current pattern representation.
我们定义优化目标函数为前时刻轨迹和当前时刻特征提取结果的均方误差和，推导了相应的轨迹学习算法。
应用推荐