1 code implementation • 8 Jan 2024 • Chollette Olisah, Lyndon Smith, Melvyn Smith, Lawrence Morolake, Osi Ojukwu
Given the nonlinearity of the interaction between weather and soil variables, a deep neural network regressor (DNNR) is carefully designed with consideration to the depth, number of neurons of the hidden layers, and the hyperparameters with their optimizations.
no code implementations • 13 Nov 2018 • Lili Tao, Timothy Volonakis, Bo Tan, Yanguo Jing, Kevin Chetty, Melvyn Smith
We evaluate the proposed method on a state-of-the-art dataset and experimentally confirm that our approach outperforms the baseline method.