Error Correction Learning in ANN #Siva_Prasad#
Error correction learning / Delta rule /Widrow-Hoff rule
ek(n)= dk(n)-yk(n)
yk(n), Actual Output of K neuron
dk(n) Desired Output of K neuron
ek(n) is Error of K neuron
Δ ωkj (n)= ƞek (n) xj (n)
Learning in ANN : https://youtu.be/Rtxdqbc53Nw
Optimization Technique(TSP): https://youtu.be/DEIxOLX_yhE
PLAYLIST'S
ANN : https://youtube.com/playlist?list=PLT-27EiIrgnrCc2DB-UvL_p_YFmIdJ1W8
SADP PLAYLIST: https://youtube.com/playlist?list=PLT-27EiIrgnrMZ8QQU_kGTaaGRcjL_z3-
C SERIES PLAY LIST list: https://youtube.com/playlist?list=PLT-27EiIrgnrjqAgu0K3Opkbg4NbhJ56G
