Respuesta :
ANNs (artificial neural networks) .Learn and are capable of performing tasks that are difficult with conventional computers, such as playing chess, recognizing patterns in faces and objects, and filtering spam e-mail. An ANN uses patterns instead of if-then-else rules that expert systems use.
Artificial neural networks (ANNs), also known as neural networks (NNs), neural nets, or simply neural networks, are computer architectures that take their cue from the biological neural networks that make up animal brains.
Artificial neurons, which are a set of interconnected units or nodes that loosely resemble the neurons in a biological brain, are the foundation of an ANN. Like the synapses in a human brain, each link has the ability to send a signal to neighboring neurons. An artificial neuron can signal neurons that are connected to it after processing signals that are sent to it. The output of each neuron is calculated by some non-linear function of the sum of its inputs, and the "signal" at a connection is a real number. Edges refer to the connections. The weight of neurons and edges often changes as learning progresses.
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