The rule implemented is derived from a nonnegative classical multidimensional scaling cost-function,
Monte contains modules (that hold parameters, a cost-function and a gradient-function) and trainers ( that can adapt a module’s parameters by minimizing its cost-function on training data).
Monte contains modules (that hold parameters, a cost-function and a gradient-function) and trainers ( that can adapt a module’s parameters by minimizing its cost-function on training data).
对于脑占位或梗塞等脑结构明显受损的样本图像,务必不能归一化到正常的模板上,自动算法的线性和非线性转换过程中会抹除所有受损部位的特有信息,使归一失败,对于这样的样本,除了用单独创建的模板外,还可以采用有偿函数遮盖(Cost-function
对于脑占位或梗塞等脑结构明显受损的样本图像,务必不能归一化到正常的模板上,自动算法的线性和非线性转换过程中会抹除所有受损部位的特有信息,使归一失败,对于这样的样本,除了用单独创建的模板外,还可以采用有偿函数遮盖(Cost-function