Ali Berrached

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| In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, we have interval neural networks. By analyzing the mathematical model, we categorize general three-layer neural network training problems into two types. One of them can be(More)
* This work is partially supported by an ARO grant number DAAH0495-1-0205 and an NSF grant number CDA-9522157. Abstract Current computer security systems are based on the premise that once a user presents valid credentials to the authentication system (e.g. valid ID and password), they are granted access permission to all resources assigned to the user that(More)
Targeting behavior of vehicles in the battlefield (Target Analysis) is one of the most critical tasks in Computer Generated Forces (CGF) systems. This is simply because of many complex and ambiguous factors that can effect the targeting behavior of such systems in the real world. There has been many approaches including using Fuzzy Set Theory for Target(More)
Current computer security systems are based on the premise that once a user presents valid credentials to the authentication system (e.g. valid ID and password), they are granted access permission to all resources assigned to the user that they claim to be. However, numerous studies have shown that most security breaches are done by unauthorized users(More)
Decoupled computer architectures attempt to achieve superscalar performance by exploiting the fine-grain parallelism between the data access and data execute tasks of a computer program. In this paper, we examine the major bottlenecks in the performance of decoupled architectures. These consist of the load unbalance between the access and execute(More)
| In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, we have interval neural networks. By analyzing the mathematical model, we categorize general three-layer neural network training problems into two types. One of them can be(More)
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