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1. Kunihiko Fukushima developed the Neocognitron, a neural net-work model for visual pattern recognition.
2. Software simulations generally support several different net-work models and may allow choices in factors such as transfer functions.
3. None of the current network models discussed in this book incorporates all of the properties needed true for autonomous learning.
4. Kohonen networks have capabilities unmatched by other neural network models.
5. A hybrid communication network model was researched.
6. We proposed an evolution network model considering pullulation and aging mechanism.
7. The time-dependent network model and the Chinese Postman Problem provide a wholly new method to effectively implement the Chinese Postman Problem for dynamic network.
8. For RBF neural network model, which is more effective to monitoring weld quality than the others, the average error validated is 2.28% and the maximal error validated is under 10%.
9. Studies the neural network model which is useful for behavioral patten's detection in the anti - fraud model.
10. A steam heating network model is presented when the vapor is analyzed as a single-phase compressible stream with the whole heating system analyzed as a flow network composed of nodes and branches.
11. The meta-model bases on the traditional activity network model and extends it, several new modeling elements are added to it.
12. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
13. A neural network model between electrical parameters and machining result in wire cut EDM machining is established, and based on which optimizing algorithm of electrical parameters is given.
14. A hybrid neural network model was synthesized to predict the gas production rates. The model consists of a first principle partial model and a neural network parameter estimator.
15. The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built.
16. Therefore, the BP network model can be used directly in the tooth root bending stress calculation, especially for gear tooth root bending stress calculations of high-precision.
17. Through taking an example and comparing with neural network model and conicoid polynomial fitting model, the availability of LSSVM method o.
18. A neural network model has been set up with the principle of neural network. Based on the existing data, the import cell, export cell and concealed layer node list have been ascertained.
19. This provides supporting evidence for the hierarchical network model of semantic representation of metaphors.
20. A dual isomorphic Bayesian network model for medium voltage distribution system reliability re - assessment is also proposed.
21. The establishment of complex network model of these systems, such as small world model and scale-free model, has been a hotspot in recent years.
21. Wish you can benefit from sentencedict.com and make progress everyday!
22. Through the training and testing of lots of studied samples, the error of the model is limited in a preconcerted range. Thus, a integrative network model has been established.
23. This paper presents an IR model that extends the basic belief network model with synonym - based evidence.
24. This thesis aims at the related problems and wants to seek feasible solutions. At first, an equivalent network model is proposed to analyse the theory of feeder power transfer.
25. On the basis of analysing the defectiveness of honeypot network and the way of hiding real IP address, an improved honeypot network model is introduced.
26. The paper introduced the functional block schematic of realizing the whole ONT in APON based on the network model of B-ISDN and bring forward path layer system design according to the protocol.
27. A switching function method is proposed in this paper to describe the network of railway yard and construct a switching network model of geographical circuitry.
28. In COD test experiment, we of unknown samples on the base of LM - BP neutral network model.
29. For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
30. According to the characteristic of the secondary flow of the oxygen turbopump, the nodes are distributed and the whole fluid flow network model is developed.
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