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In view of the above information, the main aim of the present study was to determine the best algorithm in terms of its predictive performance among CART, CHAID, and ANN types such as RBF, MLP1 and MLP2 in the prediction of BW from selected body measurements in the indigenous Beetal goat of Pakistan.
Finally, the following types of ANN were adopted: RBF networks, MLP1 and MLP2.
As for ANN, the average RBF network had a 7-34-1 structure (the number of neurons in the input, hidden and output layers, respectively), whereas the average MLP1 had a 7-1-1 structure and MLP2 had a 7-13-10-1 structure.
As for ME and MAD, MLP2 underestimated the goats' BW most (ME equal to -0.
The models MLP2 and MLP1 have the same objective function and similar constraints.
The MNLP model is solved using LINGO with a global solver, and the MLP1 and MLP2 models are solved using CPLEX 12.
2) After the incorporation of Constraint (31), the calculation performance of the updated MLP1 and MLP2 models is further improved; that is, the average computation time is decreased to 5-6 seconds.
CPU (s) Instance set Gap-I MNLP MLP1 MLP2 1 0 404 0.
We report the results of Bayesian learning MLPs with one output neuron and one hidden layer with up to three neurons (MLP1, MLP2, MLP3).
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- Mloda Polska
- Mlodziezowa Rada Miasta Koszalina
- Mlodziezowy Ruch Rycerstwa Niepokalanej
- Mlotkovskaia, Liubov
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