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Artificial neuron analysis and related concept stock artificial neurons, or artificial neural networks (ANN), are 20

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Analysis of artificial neurons and related concept units

Artificial neurons, or Artificial Neural Network (ANN), are a research hotspot in the field of artificial intelligence since the 80s of the 20th century. It abstracts the network of neurons in the human brain from the perspective of information processing, builds a kind of simple model, and forms different networks according to different connection methods. In engineering and academia, it is also often referred to as neural networks or neural networks. A neural network is a computational model consisting of a large number of nodes (or neurons) connected to each other. Each node represents a specific output function, called an activation function. Each connection between two nodes represents a weighted value for the signals passing through the connection, called a weight, which is equivalent to the memory of an artificial neural network. The output of the network varies depending on how the network is connected, the weight value, and the excitation function. The network itself is usually an approximation of a certain algorithm or function in nature, and may also be an expression of a logical strategy. In the past ten years, the research of artificial neural networks has been deepened and great progress has been made, and its pattern recognition, intelligent robots, automatic control, prediction estimation, biology, medicine, economics and other fields have successfully solved many practical problems that are difficult to solve by modern computers, showing good intelligent characteristics.

The characteristics and advantages of artificial neural networks are mainly manifested in three aspects:

First, it has a self-learning function;

Second, it has the Lenovo storage function;

Third, it has the ability to find optimization solutions at high speed.

After decades of development, neural network theory has achieved extensive success in many research fields such as pattern recognition, automatic control, signal processing, assisted decision-making, and artificial intelligence.

Artificial neuron analysis and related concept stock artificial neurons, or artificial neural networks (ANN), are 20
Artificial neuron analysis and related concept stock artificial neurons, or artificial neural networks (ANN), are 20
Artificial neuron analysis and related concept stock artificial neurons, or artificial neural networks (ANN), are 20

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