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The layers between the input layer and the output layer are called hidden layers and usually contain nonlinear elements.
The weight matrixes between the input layer, the hidden layer, and the output layer are adjusted using back propagation algorithm.
Each BP neural network has three layers, and the weight matrixes between the input layer, the hidden layer, and the output layer are adjusted using back propagation algorithm.
The connections between the input layer and the middle or hidden layer contain weights [Eq. (2)], which are usually determined through training the system.
LIN is implemented by inserting an additional hidden layer with linear activation between the input layer and the first hidden layer.
The architecture reduces the number of weights by a great number as there are no formal connections between the input layer and the principal component layer.
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The connections between the input layers and the entorhinal cortex serve the integration of object and spatial-configural information.
The two connectivity levels contribute differently to the evaluated dysfunctions: a lack of contextual constraints, both in lexical disambiguation and in the list learning task, is largely due to the reduced connectivity between the input layers and the entorhinal cortex.
The difference in the latency of activation (defined as the time of the peak of the PSTH, compare also Sakata and Harris 2009) between the input layers and the output layers in our network is with around 2 3 ms below the experimentally observed latencies (5 10 ms according to Schroeder et al. (1998); Sakata and Harris (2009)).
Similarly, the second layer is constructed from the best nodes estimated from the regression between the first layer and the input layer values.
The ( w_{ij}^{h} ) is the synaptic weight between the ith neuron of the input layer and the jth neuron in the hidden layer, ( b_{j}^{h} ) the bias of the jth neuron in the hidden layer.
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between the absorber layer
between the porter layer
between the corrosion layer
between the graphene layer
between the radio layer
between the input space
between the boundary layer
between the bottom layer
between the input temperature
between the input image
between the inter layer
between the chip layer
between the network layer
between the input buffer
between the plaster layer
between the input radio
between the powder layer
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