Structure and Algorithm of Self-organized Path Constraint Neural Network

Structural equation modeling(SEM) has been reconstructed into a self-organized neural network,an improved partial least square(PLS) algorithm in SEM using a suitable iterative initial value with constraint of unit vector is proposed.A new self-organized path constraint neural network(SPCNN) based on SEM is formed,its topology structure and the function are described,and its algorithms,including common algorithm and the algorithm with a suitable initial weights value,are described.