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In nowadays, hand gestures can be used as a more natural and convenient way for human computer interaction. The direct interface of hand gestures provides us a new way for communicating with the virtual environment. In this paper, we propose a new hand gesture recognition method using self-organizing map (SOM) with datagloves. The SOM method is a type of machine learning algorithm. It deals with the...
This paper proposes the design of fuzzy controllers by ant colony optimization (ACO) incorporated with fuzzy-Q learning, called ACO-FQ, with reinforcements. For a fuzzy inference system, we partition the antecedent part apriori and then list all candidate consequent actions of the rules. In ACO-FQ, the tour of an ant is regarded as a combination of consequent actions selected from every rule. Searching...
This paper proposes the design of a fuzzy controller by ant colony optimization (ACO) incorporated with fuzzy-Q learning, called ACO-FQ, with reinforcements. For a fuzzy controller, we list all candidate consequent control actions of each fuzzy rule. Each candidate in the consequent part of a rule is assigned with a corresponding Q-value. Searching for the best one among all combinations is partially...
In an attempt to address the limitations of neural modeling in engineering applications, we draw on a novel localized generalization error model to train RBFNN on a dataset obtained from the domain of construction engineering and project management, with the objective of devising reliable strategies that may shorten the cycle time required for constructing one span of precast viaduct. We select the...
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