Neural Network Toolbox™

Create concurrent bias vectors

Syntax

• concur(B,Q)
  

Description

concur(B,Q)

B	S x 1 bias vector (or Nl x 1 cell array of vectors)
Q	Concurrent size

Returns an S x B matrix of copies of B (or Nl x 1 cell array of matrices).

Examples

Here concur creates three copies of a bias vector.

• b = [1; 3; 2; -1];
  concur(b,3)
  

Network Use

To calculate a layer's net input, the layer's weighted inputs must be combined with its biases. The following expression calculates the net input for a layer with the netsum net input function, two input weights, and a bias:

• n = netsum(z1,z2,b)
  

The above expression works if Z1, Z2, and B are all S x 1 vectors. However, if the network is being simulated by sim (or adapt or train) in response to Q concurrent vectors, then Z1 and Z2 will be S x Q matrices. Before B can be combined with Z1 and Z2, you must make Q copies of it.

• n = netsum(z1,z2,concur(b,q))
  

See Also

netsum, netprod, sim, seq2con, con2seq

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