Paper Info
Title
A System of Recognition of Characters based on Paraconsistent Artificial Neural Networks
Abstract
In this paper we presented a System capable to realize a recognition of characters with base in the theoretical concepts of the Paraconsistent Annotated Logic. The Paraconsistent Annotated Logic PAL as shown in [1] is a class of the Non-Classic Logic which allows to manipulate contradictory signals. In [5] were presented the Paraconsistent Artificial Neural Cells built with Algorithms based on PAL. These Cells showed the capacity of learning certain signals in form of functions applied in their inputs. In this work, based on these Cells, were made connections and groupings among the algorithms to create a Recognizer of Characters Paraconsistent System (RCPS) capable of to learning and recognizing different types of alphabet letters or sources of signals. After the learning characters, the RPCS can recognize the letter with a high efficiency and further compares it to the group of characters learned previously. The results of tests demonstrate that the RPCS can be used as Specialist Systems of words and images Recognition
Year
Venue
Keywords
2005
LAPTEC
contradictory signal,paraconsistent annotated logic,characters paraconsistent system,certain signal,paraconsistent artificial neural,paraconsistent artificial neural networks,paraconsistent annotated logic pal,alphabet letter,different type,non-classic logic,specialist systems,artificial neural network
Field
DocType
ISBN
Paraconsistent logic,Artificial intelligence,Artificial neural network,Mathematics,Alphabet
Conference
1-58603-568-1
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Luís Fernando Pompeo Ferrara111.11
Keiji Yamanaka2739.76
João Inácio Da Silva Filho3177.49