Nowadays, artificial intelligence is everywhere in people's lives. Whether in manufacturing, service industry, government work or family life, it is inseparable from the help of artificial intelligence. With the development of science and technology, China's national defense is getting stronger and stronger, and China is also listed as one of the safest countries in the world. In our daily life and children's education, some early education robots already exist in the market, and many families have intelligent home robots, which facilitate things in life and provide a lot of fun.
With the support of national policies, the artificial intelligence industry is more and more accepted by people, and its market share is slowly expanding. Now our country applies artificial intelligence to medical equipment, and smart homes are also used to replace assembly lines in industry. Future artificial intelligence will only facilitate everyone's life and improve their quality of life.
With the wide application of artificial intelligence in various fields, it has also been effectively applied in medical color ultrasound. The so-called artificial neural network refers to the use of relevant data information to abstract and establish a simple model of human brain neuron network, and form different networks according to different connection methods, which can be called artificial neural network. Among them, artificial neural network has four basic characteristics, one is nonlinearity, which is a common feature in nature and a linear embodiment of human brain wisdom. When human neurons are in two different states of activation or inhibition, this behavior is mathematically nonlinear [1]. Second, unlimited refers to the connection between multiple neurons. The overall behavior of the system depends not only on the characteristics of a single neuron, but also on the interaction and interconnection between each unit. Thirdly, it is very qualitative, which means that the artificial neural network has the ability of self-adaptation and self-learning. It can not only process all kinds of information through neural network, but also change according to the change of its own nonlinear dynamic system. Fourth, non-convexity, that is, it depends on a specific state function under certain conditions.