Sentence examples for neural configurations from inspiring English sources

People and animals with very different neural configurations could all equally be in pain (even, conceivably, a Martian with an internal structure radically different from ours could suffer pain).

Likewise, according to the functionalist, what makes a state pain is not its particular neural configuration.

According to researcher Ernest Hartmann (4), dreams are hyperconnective, they creatively associate ideas and feelings--different sets of neural configurations--in a way that helps us adapt to what we've been through, where we are, and where we may be headed.

The effectiveness of different neural network configurations is investigated.

Limited experimental data was obtained for training and testing neural network configurations.

The classifiers are developed using two neural networks configurations, namely a well-known Multi-layer Perceptron Neural Networks (MLP NN), and Radial Basis Function Neural Networks (RBF NN).

A comprehensive performance analysis on the selected neural network configurations (both Feed forward and Recurrent) concluded that Layer Recurrent Neural Networks are most optimal for stress level detection.

These neural network configurations are next tested by comparing estimates obtained using the model against measured power for different users.

Instead, in this work we opted for the open-source Caffe deep learning framework as the main framework for training and testing deep neural networks configurations.

In b, we have two layers of neurons; the first layer consists of 45 neuron with tansig transfer function, while the second layer consists of 25 neurons with logsig transfer function These neural network configurations are next tested by comparing estimates obtained using the model against measured power for different users.

Results obtained by seven deep neural nets configurations over the seven bioactivity classes are shown in Fig. 3, here the effect of hyper-parameters (a) number of hidden layers, (b) number of neurons and (c) dropout regularization on the performance of DNN measured by MCC as evaluation metric are visualized averaged over the seven activity classes, while the rest parameters were kept fixed.