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Learning Vector Quantization (LVQ) network is presented to analysis the fault of power transformer. The oil gases extracted from transformer oil form the input vector of LVQ network. The connection weights vector is determined with teacher guide. Compared with radius function neural network (RBFNN), LVQ network is easy to perform with high efficiency. In order to improve the classification accuracy,...
This paper proposes a coefficient-based policy searching method, the direct policy search (DPS), for searching (learning) and construct policies for controlling the altitude of an aircraft. The DPS is a new and efficient reinforcement learning (RL) strategy combined with genetic algorithms (GAs). Specifically, an optimal policy in DPS consists of a set of coefficients which are learned using GA-based...
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