Designing ADC by means of soft computing
In this paper. a reconfigurable and learnable Analog to Digital Convener (ADC) based on soft computing is presented. It is shown that when a fuzzy system has a single input (example of an ADC), it can be Multiplied ill the premise of rules by introducing proper fuzzy word and linguistic operator to amplify the knowledge base. Also. in this paper. instinctive and learning behaviors. knowledge base and topology of the ADC Circuit are found using a fuzzy Voronoi diagram in a POE (Phylogeny, Ontogeny and Epigenetic) model based program. This ADC implements a set of processes during the analog to digital conversion. The proposed ADC may have a more proper structure by implementing hybrid neural network because its parameters are applied in a training algorithm.
soft computing fuzzy neural network analog to digital converter (adc) radial basis function (rbf) poe model and voronoi