Based on the study of optical implementation of the perfect shuffle local interconnecting, a hybrid opto-electrical perfect shuffle type of neural network experiment system is constructed with full functions of weighted interconnecting and summing, nonlinear processing and feeding back. Optical associative recognizing experiments for numeral patterns in 8×8 pixels are proceeded employing the PS-IPA algorithm. The experimental results show a good agreement with theoretical simulations and the feasibility and superiority of the shuffle network theory is then confirmed. And large-scale perfect shuffle type of practical ONNs with 10 4 neurons are expected utilizing smart pixel array device.