Simulation with Sequential Inputs in a Dynamic Network :: Neuron Model and Network Architectures (Neural Network Toolbox)

Neural Network Toolbox

Simulation with Sequential Inputs in a Dynamic Network

When a network contains delays, the input to the network would normally be a sequence of input vectors that occur in a certain time order. To illustrate this case, we use a simple network that contains one delay.

The following commands create this network:

net = newlin([-1 1],1,[0 1]);
net.biasConnect = 0;

Assign the weight matrix to be

The command is

```
net.IW{1,1} = [1 2];
```

Suppose that the input sequence is

Sequential inputs are presented to the network as elements of a cell array:

```
P = {1 2 3 4};
```

We can now simulate the network:

A = sim(net,P)
A = 
    [1]    [4]    [7]    [10]

We input a cell array containing a sequence of inputs, and the network produced a cell array containing a sequence of outputs. Note that the order of the inputs is important when they are presented as a sequence. In this case, the current output is obtained by multiplying the current input by 1 and the preceding input by 2 and summing the result. If we were to change the order of the inputs, it would change the numbers we would obtain in the output.

Simulation with Concurrent Inputs in a Static Network Simulation with Concurrent Inputs in a Dynamic Network