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_i ))
and how?
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