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In order to maintain human health care, it is important to record daily activity. For recording daily human activity, monitoring system which consists of multiple micro electromechanical systems (MEMS) has been developed. Using the MEMS based monitoring system, numerical data of subject's activity can be stored into a database. For example, when subject's activity on a single day is recorded, a huge...
Failure of chemical plants is very dangerous. Although such failure is solvable with extension of a sensor, and an increase of the operator, a huge amount of funds are required for these initiatives, and it cannot be realized easily. A model has been built by neural networks, and a diagnosis method using that model was proposed. In this paper, we propose the alternative diagnosis method using fuzzified...
Reinforcement learning is a promising approach to realize intelligent agent such as autonomous mobile robots. In order to apply the reinforcement learning to actual sized problem, the "curse of dimensionality" problem in partition of sensory states should be avoided maintaining computational efficiency. The paper describes a hierarchical modular reinforcement learning that Profit Sharing...
In the parallelized rule extraction method, it is very hard to predict the number of extracted rules on each processor. The difference of the number of extracted rules on each processor causes the decline of the efficiency in parallel computing. Our system can reduce the difference of the number of extracted rules by using of an autonomous load balancing.
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