Artificial Neural Networks
ANNs
Artificial Neural Networks
Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron receives a signal then processes it and can signal neurons connected to it. The “signal” at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs.
Chapter A: History
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Chapter B: Subfields – Theories
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Chapter C: Applicationals – Influence
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Chapter D:
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Chapter E:
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Chapter F:
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“Any man who reads too much and uses his own brain too little falls into lazy habits of thinking.”
Albert Einstein
Cybernetics For You 