n Artificial Neural Network (ANN) is composed of layers of interconnected ______________, which are inspired by the biological neurons in the human brain.

An Artificial Neural Network (ANN) is composed of layers of interconnected neurons, which are inspired by the biological neurons in the human brain. In an ANN, each neuron receives input data, processes it through an activation function, and produces an output. These neurons are organized into three main types of layers: the input layer, hidden layers, and the output layer.

The input layer consists of neurons that receive the initial input data. The hidden layers, which can be one or more, perform the majority of the computation and feature extraction through weighted connections. Finally, the output layer produces the final results of the network's processing.

Neurons in an ANN are characterized by their ability to learn from data through a process known as training, where the network adjusts the weights of the connections based on the error of the output compared to the expected result. This learning process enables ANNs to perform complex tasks such as image recognition, natural language processing, and more. The structure and functioning of an ANN mimic the way biological brains process information, making them a powerful tool in artificial intelligence.