Approximation of Conditional Probability Function Using Artificial Neural Networks
نویسندگان
چکیده
This work shows that a multilayer perceptron can successfully be applied for approximation of conditional probability function. Such an approach makes it possible to examine the training sample with contradictory vectors and to interpret the outputs of the network in classification tasks as the evaluation of the probability of belonging to the specific class. This method was used for creating the adaptive agent for RoboCup simulation environment.
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تاریخ انتشار 2003