Neural Network Strategies for Solving Synthesis Problems in Non-conflict Cases (1996) [3 citations — 3 self]
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Abstract:
In this paper, two neural network mechanisms for synthesis of solutions in non-conflict cases in distributed expert systems (DESs) are proposed. The ideas are: inputs of the neural network are different solutions for the same problem from different expert systems in DESs; outputs of the neural network are the final solutions for the problem after combining different solutions which should be the same as the human experts ' final solutions. The first point is to set up the architecture of the neural network and train the neural network by adjusting weights of links to match the outputs of the neural network against the human experts ' solutions for all patterns. The second point is that the neural network mechanism proposed in this paper can accommodate the variable number of inputs and outputs without changing neural network architecture. 1
Citations
| 90 | Subjective bayesian methods for rulebased inference systems – Duda, Hart, et al. - 1976 |
| 25 | Cooperation Under Uncertainty in Distributed Expert Systems – Zhang - 1992 |
| 23 | A Domain-Independent System That Aids in Constructing KnowledgeBased Consultation Programs," Memo – vanMelle - 1980 |
| 10 | Uncertainty Management in a Distributed Knowledge Based System – Khan, Jain - 1985 |
| 8 | A Comprehensive Strategy for Conflict Resolution in Distributed Expert Systems – Zhang, Zhang - 1994 |
| 6 | Conflict resolution in multi-ES cooperation system – Liu, Zheng, et al. - 1992 |
| 4 | Synthesis of Solutions in Distributed Expert Systems – Zhang, Zhang - 1994 |
| 2 | The Synthesis Strategies for Non-conflict Cases – Zhang, Zhang - 1995 |
| 1 | for Parallel and distributed High Performance Systems – Mache, Hubner, et al. - 1993 |
| 1 | A Dynamic Neural Network Mechanism for Solving Belief Conflict in Distributed Expert Systems – Zhang, Zhang - 1995 |
