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- W165729072 abstract "The neural networks were engineering models to simulate the brain. However now, we reconsider that a sign of the processing in the brain would be discovered in the neural networks; and the sign would be related with constructions of huge scale logical units or memory functions. We investigated generations of logical structures in homogeneous neuron's assembly. Some kinds of neural networks are forward propagators for information represented by vectors. Therefore, since any binary logic functions are represented as the true-value table, all binary logic units are realized by using the neural networks. The neural networks execute all operations of the digital computer. We designed some logic units based on the standpoint, in which the units included million neurons. We found that propagation of exact information is very difficult in huge logic units. Logics for information maintenance are necessary at suitable intervals. There are true-value tables, which cannot be corresponded with binary logic. We are sure that there is a potential to design a non Neumann-machine in the model." @default.
- W165729072 created "2016-06-24" @default.
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- W165729072 date "2000-05-14" @default.
- W165729072 modified "2023-09-22" @default.
- W165729072 title "Memory Function in Loops Including Multi-Layer Neural Network: FIFO and Vector Register" @default.
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