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They were created to imitate neural networks within the human brain.
Copyright: interestingengineering.com “Artificial neural network: Here’s everything you need to know about black box of AI”
– ANN consists of an input layer, a hidden layer, and an output layer.
– Also called neural nets, ANNs are used daily in healthcare, social media when suggesting people you might know, and in marketing when recommending products to consumers.
They also known as neural nets, are computing systems that are inspired by the way biological neural networks work in the human, or other animals, brain. In order to look further into artificial neural networks, it’s important to understand the basis of the origin and neural circuits of the brain itself.
Neural circuits are groups of neurons that are connected by synapses – a structure that allows neurons to pass chemical and electrical signals to other neurons. Neural networks, within the brain and in human intelligence, have been the inspiration behind creating artificial neural networks in artificial intelligence.
What is an ANN?
It is a system of algorithms that works in a similar way. It is one of the subsets of machine learning under artificial intelligence. The models are based off of biological neurons in the brain forming a neural network.
A sample illustration of an artificial neural network.
The artificial neurons form the basis of artificial neural networks. Similarly to biological neural networks, which have neurons and synapses, ANNs have nodes and connections between nodes. As the ANN analyzes large amounts of data, it forms new connections and develops the capability to solve difficult problems or perform challenging tasks.
Past history of ANNs
In 1958, Frank Rosenblatt, an American psychologist, created one of the first prototype models of an artificial neural network, building on the work of researchers Warren McCullock and Walter Pitts, who published their concept of an artificial brain cell as a logic gate with binary outputs in 1943. The name of Rosenblatt’s creation was the Perceptron. The machine was considered one of the first to “perceive an original idea.” It was created to replicate how the human brain processes information and learned to identify various items.[…]
Read more: www.interestingengineering.com
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Source: SwissCognitive
