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They identified inadequate model building as the obstacle militating against accurate predictions using artificial networks.
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In recent years, outcome prediction models using artificial neural network and multivariable logistic regression analysis have been developed in many areas of health care research.
The sensor array for gas concentration prediction is developed using Artificial Neural Networks (Back Propagation).
The proposed MNN is a valid alternative approach to prediction and programming using artificial neural networks.
Since the 1990s, credit risk evaluation methods have significantly improved prediction accuracy by using artificial intelligence models such as neural networks support vector machine (SVM).
Finally, a compressive strength prediction model is developed using artificial neural network (ANN).
Also, this paper presents the bed changes prediction at seawalls toe using artificial neural networks on the basis of experimental data to widen the range of application.
Performance of our rRNA prediction algorithm was evaluated using artificial DNA fragments generated from fully sequenced archaea and bacteria genomes.
Finally, we introduce a meta predictor that combines promoter predictions from top-performing PPPs using Artificial Neural Networks, as well as the genomic information such as CpG island.
A proton exchange membrane fuel cell (PEMFC) is modeled for the prediction of the output current by using artificial neural network (ANN) that is utilized the aforementioned experimental parameters.
The prediction of episodes of poor air quality using artificial neural networks is investigated, concentrating on selection of the most appropriate cost function used in training.
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