Approach to Partially Connected Neural Evolutionary Model with Its Application to Image Recognition

To explore the method for the building of artificial brain, by combing neural network and genetic algorithm, Parcone model (partially connected neural evolutionary model) was proposed and represented, especially for its partially connected structure and evolution algorithm. Comparing with fully connected model, Parcone model can substantially decrease computing amount, while remain strong classification capability. A series of image recognition experiments (including arrow detection, face detection, and facial sex detection) showed the recognition power and effectiveness of the Parcone model. Since the Parcon model had great potential power, it might be expected to improve it to become the basis for the construction of China´s first artificial brain.