A traceability chain algorithm for artificial neural networks using T–S fuzzy cognitive maps in blockchain
| Autor: | Rui-Yang Chen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Blockchain
Traceability Artificial neural network Computer Networks and Communications business.industry Computer science Deep learning Big data Inference 020206 networking & telecommunications 02 engineering and technology computer.software_genre Machine learning Fuzzy logic Fuzzy cognitive map Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Artificial intelligence business computer Transaction data Algorithm Software |
| Zdroj: | Future Generation Computer Systems. 80:198-210 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2017.09.077 |
| Popis: | Blockchain acts on a big data analytics because transaction data belongs to streaming data and high-dimensional data from distributed computing network. Accordingly, such operation produces irrelevant data problem and further poorly optimized traceability in blockchain. So, we claim that the artificial intelligence of blockchain mining algorithm like traceability chain algorithm runs faster than consensus algorithm because of inference mechanism. Our main goal is to reach traceability decision not consensus decision as fast as possible. Thus, this article proposes a novelty approach called TakagiSugeno Fuzzy cognitive maps ANN as traceability chain algorithm. The numerical example of the proposed algorithm in blockchain mining is evaluated and optimized decisions experiment is analyzed. Objective functions for optimized decision computation is described as participant nodes constraint method. Thus contribution succeeds in meeting the reduction mining efforts for the traceability chain being processed. Our findings also provide a preliminary indication of deep learning applied big blockchain transactions data. The main goal is to reach traceability decision not consensus decision as fast as possible.A novelty approach is TakagiSugeno Fuzzy cognitive maps ANN as traceability chain algorithm.Deep learning network by TakagiSugeno Fuzzy ANN is presented.We provide optimized traceability in blockchain for hierarchical learning features representations on big transaction data. |
| Databáze: | OpenAIRE |
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