Figure 8
From: A novel approach for protein subcellular location prediction using amino acid exposure
Optimization of the artificial neural network (ANN). (Top) ANNs were optimized using different numbers of hidden neurons and SVM types. (Bottom) Best accuracy value obtained. The legends indicate the type of SVM input used. SVM ranges and vectors (of 20 or 40 components) are indicated as in Figure 6. Use of multiple sets of SVMs are indicated by labels using “|” as separator. For example, the best accuracy value (0.68) was obtained using as input three sets of SVMs, two of them trained on 40-component vectors, and another trained on 20-component vectors.