VLSI Design of CMAC Neural Network

• Main Authors: Chang, Yaw-Guang, 張耀光
• Other Authors: Chen Fu-Chuang
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/54171568879542411144

碩士 === 國立交通大學 === 電機與控制工程學系 === 86 === The object of this thesis is to design a Cerebellar Model Articulation(CMAC) neural network hardware system including the kernel CMAC chip and other external circuits. ASIC design process is used to implement CMAC neural network. It makes the architecture of the system more concise and reduces the CAMC system respond time. The module design method allows future expansion. The CMAC chip designed can be apply in practical engineering problem. In this paper, we use the Cell-Based design environment which is supported by CIC to design the kernel CHIP of the CMAC neural network system. We arrange some specific parameters in our CMAC system in a special to make circuit implementationeasier. Improving the mapping from association memory to physical memory reduces the required memory, so hashing is not necessary and the mapping function circuit becomes simpler. Finally, we use the IC checking and simulation tool to verify the design. We also rum system board simulation by SmartModels to make sure the CMAC chip is compatible with the external circuits.