This SnnsR low-level function masks the SNNS kernel function of the same name to allow both for giving the parameters directly or as a vector. If the second parameter, bias, is missing, it is assumed that the first parameter should be interpreted as a vector containing
这SnnsR低级别的功能掩盖了SNNS核函数相同的名称,可以直接给的参数还是将作为矢量。如果第二个参数,bias,丢失,它是假设的第一个参数应被解释为一个向量,包含