A Neural Network Model for Symbolic Computation

In this paper,an asymmetrically connected neural network model of P adic number system is proposed.It is characterized by a unique equilibrium point and massively parallel architecture.Thus computation is error free.The neural network can be used for symbolic computation.The paper focuses on the implementation of the neural network,providing a new computational model for symbolic computation.