神经网络与神经计算机 第四讲 神经计算机

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4-1 冯·诺曼计算机与神经计算机现在广泛使用的冯·诺曼型数字计算机的基本思想是,在中央处理单元CPU 的控制下,逐次执行指令序列。它的主要特征是串行处理和高速数值运算。但在模式识别、语音合成、人工智能等方面却进展缓慢。而神经网络由于具有高速并行处理,自组织和学习功能等许多优良特性,因而使得模仿生物大脑信息处理功能的神经计算机的研究,展示出十分诱人的前景。 4-1 von Norman Computer and Neural Computer The basic idea of ​​the von Neumann digital computer, which is now widely used, is to execute the sequence of instructions one by one under the control of a central processing unit CPU. Its main features are serial processing and high-speed numerical operations. However, progress has been slow in pattern recognition, speech synthesis and artificial intelligence. The neural network has many attractive features such as high-speed parallel processing, self-organizing and learning functions, which makes the study of neural computers that mimic the function of biological brain information processing shows a very attractive prospect.
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