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A configurable Artificial Neuron Network that is neural layers to the higher layers and establishes non-linear capable of establishing both the emulated digital Cellular mapping function between the inputs and the outputs of the Neural Network (CNN) and the static Multilayered network. The reduced structure of the general MFNN is the Feedforward Neural Network (MFNN) is described. The two-layered feedforward neural network shown in Figure 1.

In this paper, the architecture of a mixed-signal CNN visual processor with on board photodetecting sensor array analog RAM and a switching matrix to process off chip sensor signals is proposed In our design, the CMOS sensor array possesses high performance readout circuitry and embedded data storage capability. For further compactness, a new template memory structure is built that requires about quarter of silicon size compared to previous designs. The vision chip comprises most of the modules of a sensory system and keeps tight relationship between the sensors and the processor.

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