With the development of artificial intelligence, people's lives have become more and more convenient. As early as 2017, the country began to layout the development of the artificial intelligence industry, striving to seize the global high point of artificial intelligence in 2030, and elevating artificial intelligence to the national strategy.
People's lives now, artificial intelligence is everywhere, whether in the manufacturing industry, service industry, government work or family life now can not be separated from the help of artificial intelligence, the development of science and technology, China's national defense is becoming more and more powerful, and China has been listed as one of the world's safest countries. In our ordinary life, in the child's education, some early education robots have long existed in the market, many families have smart home robots, easy to do things in life, but also provides a lot of fun.
In the country's policy support, the artificial intelligence industry is more and more easy for people to accept, the market share is also slowly expanding, nowadays artificial intelligence is used in our country's medical equipment, smart home and industry instead of the use of the assembly line. The future of artificial intelligence will only be more convenient to everyone's life, improve the quality of life.
With the wide application of artificial intelligence in various fields, it is also effectively used in medical ultrasound. The so-called artificial neural network refers to the use of relevant data information to the human brain neuron network abstraction to establish a certain simple model, and according to different connections to form different networks, for this process can be called artificial neural network. Artificial neural networks have four basic features, first, non-linear, and non-linear is a common feature in nature, but also a linear embodiment of human brain intelligence. When human neurons are in two different states of activation or inhibition, this behavior is mathematically expressed as a kind of nonlinearity [1]. Secondly, non-limitations, it refers to the connections between multiple neurons made. Where the overall behavior of a system does not depend only on the characteristics of a single neuron, but needs to be determined by the interactions and interconnections between individual units. Third, very qualitative, it refers to the artificial neural network with self-adaptive and self-learning ability, it can not only process all kinds of information through the neural network, at the same time in the processing of information at the same time, but also according to the change of its own nonlinear dynamical system. Fourth, non-convexity, which means that it depends on a particular state function under certain conditions.