What is the neural network Hopfield?

Hopfield neural network is a system used to replicate the information formulas she has learned. It is modeled on a neural network found in the human brain, although it is made of artificial ingredients. For the first time designed by John Hopfield in 1982, the Hopfield neural network can be used to discover patterns in the input and can process complicated sets of instructions. It is also used to study human memory.

The Hopfield neuron network is made of units that are interconnected as a web in which each unit is connected to each other unit. Although all units are connected to each other, the individual unit does not form a connection with themselves. When he first created this model, Hopfield used binary values ​​0 and 1 to describe the activity of each unit in the network. Although this system is still used, many scientists now use -1 and +1 to describe the activity of the unit. A unit in a neural network is said to be 0 or -1 if its Threshold has not yet been met and 1 or +1 if its threshold was evaluatedit fulfilled or exceeded.

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units in the Hopfield neuron network are activated and released as soon as their threshold is met. When a certain input is given to the Hopfield neural network, it is able to repeat this input by a series of complex connections between each unit. Even in a system with only 4 individual units there are 12 connections that can be sent. Complex networks may contain millions of connections, allowing them to repeat long chains or binary code patterns.

Before the neural network Hopfield is able to repeat the formula, the formula it is looking for must first be taught. Once the system knows a certain formula, it will be able to repeat it whenever it recognizes it again. This makes these networks useful for searching for patterns in large amounts of data.

Though these networks are able to recognize patterns, they may recognize the formula incorrectly, especially if the patterns are of the sightso'clock in parts of neural network that are close to each other. The same process occurs in human memory that can be modeling using the Hopfield neural network. Research on non -stamina in memory and strengthening memory in humans can be carried out using neural networks Hopfield.