【摘要】 MATLAB语言由于具有强大的矩阵运算能力而广泛的应用于各种控制领域。Hopfield神经网络是一种具有联想功能的反馈网络 ,它可以根据一定的规则计算出网络的权值 ,网络演变过程中不断更新各神经元的状态 ,问题之解便是网络演变到稳定时各神经元的状态。该文提出一种采用离散Hopfield神经网络识别带噪声的字符的方法 ,在MATLAB中用M语言进行编程、计算、仿真 ,从而验证这种方法的正确性。更多还原

【Abstract】 MATLAB software had been used extensively in many control fields due to its strong matrix operation. Hopfield NN is a feedback network with association function. It can figure out the weights of network according to some rules and update every nerve cell’s state constantly in curse of the network evolvement. Results of problem are all cells’ states when network coming to a state of stabilization. This paper presents a method identifying noised words with dispersed Hopfield NN. Programming, calculating and simulating in MATLAB and that validating the method correct.更多还原