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Table 2 The architecture of the member networks of the slow-flexion committee

From: Neural network committees for finger joint angle estimation from surface EMG signals

Network N. Hidden Layers No. of Nodes Functions
1 2 6, 10 L, T, T
2 1 10 L, L
3 2 5, 5 L, L, L
4 2 10, 10 T, L, T
5 2 5, 20 L, L. T
  1. The second column shows the number of hidden layers, the third column shows the number of networks in each of the hidden layers, and the last column shows the activation functions used for each of the hidden layers and the output neuron (L: log-sig function, T: tan-sig function).