Can this be optimized (getting the minimum) using backprobagation? α(x_i ,y_i ,h_i )=(h_i −x_i )^2 +y_i ^2 β(y_i ,h_i )=y_i h_i ^2 −2uy_i h_i γ(h_i )=h_i ^4 −4uh_i ^3 +4u^2 h_i ^2 Cost=Σ_(i=0) ^m (cα(x_i ,y_i ,h_i )−2c^2 β(y_i ,h_i )+c^3 γ(h


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Question Number 192979 by Red1ight last updated on 01/Jun/23

$Can this be optimized (getting the minimum) using backprobagation ?$ $α (x_{i}, y_{i}, h_{i}) = {(h_{i} - x_{i})}^{2} + y_{i}^{2}$ $β (y_{i}, h_{i}) = y_{i} h_{i}^{2} - 2 {u y}_{i} h_{i}$ $γ (h_{i}) = h_{i}^{4} - 4 {u h}_{i}^{3} + 4 u^{2} h_{i}^{2}$ $Cost = \underset{i = 0}{\sum^{m}} (c α (x_{i}, y_{i}, h_{i}) - 2 c^{2} β (y_{i}, h_{i}) + c^{3} γ (h_{i}))$ $and how ?$
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