To design next generation adaptive security systems the powerful intelligent components should be developed. The paper describes the fuzzy knowledge base specifying relationships between threats and protection mechani...
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ISBN:
(纸本)9781479927289
To design next generation adaptive security systems the powerful intelligent components should be developed. The paper describes the fuzzy knowledge base specifying relationships between threats and protection mechanisms by Mathworks matlab fuzzy logic toolbox. The goal is to increase the effectiveness of the system reactions by minimization of neural network weights. We demonstrate a technique for creation of a fuzzy knowledge base to improve the system protection via rules monitoring and correction.
This paper first reviews the state-of-the-art of fuzzy rule-based classifiers (FRBCs), then it discusses how to implement an FRBC under the Pattern Recognition toolbox (PRTools), the de-facto standard toolbox for clas...
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ISBN:
(纸本)9781424469208
This paper first reviews the state-of-the-art of fuzzy rule-based classifiers (FRBCs), then it discusses how to implement an FRBC under the Pattern Recognition toolbox (PRTools), the de-facto standard toolbox for classification in matlab. Such an implementation, called frbc, allows for a straightforward comparison of frbc with other classifiers already available under the PRTools. Furthermore, frbc can easily be used and combined with any other general-purpose function already available in PRTools. In this way, e. g., it becomes really easy to perform many types of feature selection, based on the accuracy achieved by frbc on the subset of features at hand. Another useful feature is the capability to export each FRBC generated by frbc as a standard fuzzy Inference System (FIS) structure used within the matlab fuzzy logic toolbox (FLT): this allows comparisons/validations, visual inspection of the rule base, etc. In the experimental part we first assess the correctness of the implementation, by reproducing results existing in the literature. Then we show some examples of usage of frbc, combined with existing PRTools functions.
This paper describes the design of a fuzzylogic based hurdle avoidance controller for mobile robot navigation in noisy and uncertain *** employed controller is a two input,two output *** inputs to the controller are ...
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This paper describes the design of a fuzzylogic based hurdle avoidance controller for mobile robot navigation in noisy and uncertain *** employed controller is a two input,two output *** inputs to the controller are 'distance to hurdle' information from two SRF05 ultrasonic sensors mounted in front of the *** outputs from controller are speed commands for two drive *** controller is first designed in matlab and its rule base is optimized for best possible *** is then implemented using a cheap and readily available AT89C52 *** robot with the proposed controller is finally tested in various environments containing obstacles and is found to avoid the obstacles in its way successfully.
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