并行结构和并行处理能力。人工神经网络在结构上是并行的，处理顺序也是并行

Parallel structure and parallel processing capabilities. The artificial neural network is parallel in structure, and the processing sequence is also parallel and synchronized. In other words, the calculation function of the neural network is distributed on multiple processing units. <br>(2) Distributed storage of knowledge. In a neural network, knowledge is not stored in a specific storage unit. All the memorized information is stored in the weights of the interconnections between neurons. A single weight will not have a big impact on the performance of the entire neural network. <br>(3) Strong fault tolerance. The human brain has strong fault tolerance. The metabolism of brain cells will not affect our memory and thinking ability. Similarly, artificial neural networks also have strong fault tolerance. After partial or partial neuron failure, it will not affect the overall activities.

Parallel structure and parallel processing power. Artificial neural networks are structurally parallel, and the processing order is parallel and synchronized. In other words, the computational function of the neural network is distributed across multiple processing units.<br>(2) Knowledge distributed storage. In neural networks, knowledge is not stored in a particular storage unit, all memorable information is stored in the interconnect weights between neurons, and a single weight does not have a significant impact on the performance of the entire neural network.<br>(3) fault tolerance is strong, the human brain has a strong fault tolerance, brain cell metabolism does not affect our memory and thinking ability. Similarly, artificial neural networks also have a strong fault tolerance, local or partial neurons failure, will not affect global activities.

Parallel architecture and parallel processing capability. The structure of ANN is parallel, and the processing sequence is parallel and synchronous. In other words, the computing function of neural network is distributed on multiple processing units.<br>(2) Knowledge distributed storage. In the neural network, knowledge is not stored in a specific storage unit, all the memory information is stored in the weights of the interconnection between neurons, and a single weight will not have a great impact on the performance of the whole neural network.<br>(3) Fault tolerance, human brain has a strong fault tolerance, brain cell metabolism will not affect our ability to remember and think. Similarly, the artificial neural network has strong fault tolerance, and the local or partial neuron failure will not affect the global activity<br>