更改
→传播函数(Propagation function)
: <math> {p_j}(t) = {\sum_{i}} {o_i}(t) {w_{ij}} </math>
: <math> {p_j}(t) = {\sum_{i}} {o_i}(t) {w_{ij}} </math>
当偏置值加在函数上时,上面的形式变成下面的:<ref name="DAWSON1998">{{cite journal|year=1998|title=An artificial neural network approach to rainfall-runoff modelling|url=https://www.tandfonline.com/doi/abs/10.1080/02626669809492102|journal=Hydrological Sciences Journal|volume=43|issue=1|pages=47-66|doi=10.1080/02626669809492102|last1=DAWSON|first1=CHRISTIAN W}}</ref>
当偏置值加在函数上时,上面的形式变成下面的:<ref name="DAWSON1998">{{cite journal|year=1998|title=An artificial neural network approach to rainfall-runoff modelling|url=https://www.tandfonline.com/doi/abs/10.1080/02626669809492102|journal=Hydrological Sciences Journal|volume=43|issue=1|pages=47-66|doi=10.1080/02626669809492102|last1=DAWSON|first1=CHRISTIAN W}}</ref>
: <math> {p_j}(t) = {\sum_{i}} {o_i}(t) {w_{ij}}+ {w_{0j}} </math>,其中<math>{w_{0j}}</math>是偏置。
: <math> {p_j}(t) = {\sum_{i}} {o_i}(t) {w_{ij}}+ {w_{0j}} </math>,
其中<math>{w_{0j}}</math>是偏置。
====学习规则(Learning rule)====
====学习规则(Learning rule)====