| Título: | Artificial Neuron Modelling Based on Wave Shape |
| Autores: | Kieran Greer; Distributed Computing Systems, Belfast |
| Fecha: | 2013-10-13 |
| Publicador: | BRAIN: Broad Research in Artificial Intelligence and Neuroscience |
| Fuente: |
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| Tipo: | |
| Tema: |
Artificial Intelligence Neural network, wave shape, resonance, new algorithm |
| Descripción: | This paper describes a new model for an artificial neural network processing unit or neuron. It is slightly different to a traditional feedforward network by the fact that it favours a mechanism of trying to match the wave-like ‘shape’ of the input with the shape of the output against specific value error corrections. The expectation is then that a best fit shape can be transposed into the desired output values more easily. This allows for notions of reinforcement through resonance and also the construction of synapses. |
| Idioma: | Inglés |
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