14 revert

net = revert ( net ) 0 3.19

adapt sim train init

5 train

[net, TR, Y , E, Pf, Af] = train ( net, P, T, Pi, Ai, VV , TV )

train net.trainFcn net.trainParam net P T Pi Ai VV TV TR Y E Pf Af P T Pi Ai VV TV Y E Pf Af

VV TV VV 3.19

adapt sim init revert

6 sim

[Y , Pf, Af, E, perf ] = sim (net, P , Pi, Ai, T)

[Y , Pf, Af, E, perf ] = sim (net, {Q TS}, Pi, Ai, T)

[Y , Pf, Af, E, perf ] = sim (net, Q, Pi, Ai, T)

sim sim net P Pi Ai T Y Pf Af E perf P T Pi Ai Y E Pf Af sim Q TS

3.19 P = {0 -1 1 1 0 -1 1 0 0 1 10 -1 -1 1 1 1 0 -1}; T = {0 -1 0 2 1 -1 0 1 0 1 2 1 -1 -2 0 2 2 1 0}; P T P T net =newlin ( [-1 1], 1, [0 1], 0.005 ); [-1 1] 0.005 3.14

ＭＡＴＬＡＢ人工神经网络函数表