fann_get_activation_steepness

(PECL fann >= 1.0.0)

fann_get_activation_steepness为锟结供锟斤拷锟今经猴拷锟斤拷锟斤拷锟斤拷锟斤拷锟斤拷丶锟斤拷疃革拷锟�

说锟斤拷

fann_get_activation_steepness ( resource $ann , int $layer , int $neuron ) : float

锟斤拷取锟斤拷元锟斤拷为 neuron 锟斤拷锟斤拷为 layer锟斤拷锟斤拷锟斤拷募锟斤拷疃革拷龋锟斤拷锟斤拷锟斤拷锟斤拷锟斤拷锟斤拷为1锟姐。

锟斤拷锟斤拷锟斤拷锟斤拷锟斤拷遣锟斤拷锟斤拷芑锟饺★拷锟斤拷疃革拷取锟�

锟斤拷锟筋函锟斤拷锟侥讹拷锟饺憋拷锟斤拷锟剿硷拷锟筋函锟斤拷锟斤拷锟斤拷小锟斤拷锟斤拷锟斤拷卸锟介。一锟斤拷锟斤拷值锟斤拷锟斤拷锟斤拷锟斤拷锟结供一锟斤拷锟斤拷锟斤拷效锟斤拷训锟斤拷锟斤拷

锟斤拷训锟斤拷锟斤拷锟斤拷锟斤拷时锟斤拷锟斤拷锟街涤︼拷么锟斤拷诩锟斤拷锟�(通锟斤拷锟斤拷 0 锟斤拷 1锟斤拷取锟斤拷锟节硷拷锟斤拷锟斤拷锟斤拷)锟斤拷一锟姐陡锟酵的硷拷锟筋函锟斤拷锟斤拷锟结被使锟斤拷(锟斤拷锟斤拷为1.0时)锟斤拷

默锟较的硷拷锟筋陡锟斤拷锟斤拷0.5.

锟斤拷锟斤拷

ann

Neural network resource.

layer

锟斤拷锟斤拷

neuron

锟斤拷元锟斤拷

锟斤拷锟斤拷值

锟斤拷锟筋陡锟饺o拷锟斤拷锟斤拷元锟斤拷锟斤拷锟斤拷锟斤拷锟斤拷没锟斤拷锟斤拷时为-1锟斤拷锟斤拷锟斤拷时锟斤拷锟斤拷 FALSE .

锟轿硷拷