Name
Abstract | ||
|---|---|---|
The field of neural networks can be thought of as being related to artificial intelligence, machine learning, parallel processing, statistics, and other fields. The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. In this paper, the author first stated the importance and the application of the neural network and then puts the emphasis on presenting the BP neural network that is widely used in many fields. In the second part, the author recommends the random fuzzy theory and gives some useful definition and theorem that will be used in the next part. In the part of this paper, the author put forward a new BP model based on the random fuzzy theory and gives the advantages of it. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FSKD.2007.71 | FSKD (1) |
Keywords | Field | DocType |
bp neural network,neural network,useful definition,parallel processing,fuzzy set theory,artificial intelligence,random processes,new bp model,traditional computational method,backpropagation neural network,new bp neural network,backpropagation,problem solving,machine learning,random fuzzy theory,neural nets,next part,neural network model,artificial intelligent | Nervous system network models,Neuro-fuzzy,Computer science,Stochastic neural network,Fuzzy logic,Fuzzy set,Theoretical computer science,Artificial intelligence,Backpropagation,Artificial neural network,Machine learning,Neural modeling fields | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-2874-8 | 1 |
PageRank | References | Authors |
0.47 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yujuan Sun | 1 | 1 | 0.47 |
| Yilei Wang | 2 | 144 | 29.62 |
| Tao Li | 3 | 29 | 6.40 |
| Peng Liu | 4 | 1 | 0.47 |