This paper presents a coded block adaptive neural network system using a radical-partitioned structure for large-volume Chinese characters recognition VLSI. Using the coded block adaptive neural network system with a radical-partitioned structure, 1000 frequently-used Chinese characters have been successfully trained in 139.2 hours using an 18 MIPS computer. According to the simulation results,...