matlab的adapt函数,Matlab关于神经网络，adapt( )函数的该如何使用的问题

Here two sequences of 12 steps (where T1 is known to depend

on P1) are used to define the operation of a filter.

p1 = {-1  0 1 0 1 1 -1  0 -1 1 0 1};

t1 = {-1 -1 1 1 1 2  0 -1 -1 0 1 1};

Here NEWLIN is used to create a layer with an input range

of [-1 1]), one neuron, input delays of 0 and 1, and a

learning rate of 0.5. The linear layer is then simulated.

net = newlin([-1 1],1,[0 1],0.5);

Here the network adapts for one pass through the sequence.

The network's mean squared error is displayed.  (Since this

is the first call of ADAPT the default Pi is used.)

[net,y,e,pf] = adapt(net,p1,t1);

mse(e)

Note the errors are quite large.  Here the network adapts

to another 12 time steps (using the previous Pf as the

new initial delay conditions.)

p2 = {1 -1 -1 1 1 -1  0 0 0 1 -1 -1};

t2 = {2  0 -2 0 2  0 -1 0 0 1  0 -1};

[net,y,e,pf] = adapt(net,p2,t2,pf);

mse(e)

Here the network adapts through 100 passes through

the entire sequence.

p3 = [p1 p2];

t3 = [t1 t2];

net.adaptParam.passes = 100;

[net,y,e] = adapt(net,p3,t3);

mse(e)

The error after 100 passes through the sequence is very

small - the network has adapted to the relationship

between the input and target signals.