菜鸟求问，MATLAB里的learnp函数怎么用？没看明白~

【 在 l6292 的大作中提到: 】 help learnp learnp Perceptron weight/bias learning function. learnp is the perceptron weight/bias learning function. learnp(W,P,Z,N,A,T,E,gW,gA,D,LP,LS) takes several inputs, W - SxR weight matrix (or b, an Sx1 bias vector). P - RxQ input vectors (or ones(1,Q)). Z - SxQ weighted input vectors. N - SxQ net input vectors. A - SxQ output vectors. T - SxQ layer target vectors. E - SxQ layer error vectors. gW - SxR gradient with respect to performance. gA - SxQ output gradient with respect to performance. D - SxS neuron distances. LP - Learning parameters, none, LP = []. LS - Learning state, initially should be = []. and returns, dW - SxR weight (or bias) change matrix. LS - New learning state. learnp(CODE) returns useful information for each CODE string: 'pnames' - Returns names of learning parameters. 'pdefaults' - Returns default learning parameters. 'needg' - Returns 1 if this function uses gW or gA. Here we define a random input P and error E to a layer with a 2-element input and 3 neurons. p = rand(2,1); e = rand(3,1); learnp only needs these values to calculate a weight change. dW = learnp([],p,[],[],[],[],e,[],[],[],[],[]) See also learnpn, newp, adapt, train. Reference page in Help browser doc learnp