Distributed denial of service (DDoS) is a structured network attack coming from various sources and fused to form a large packet stream. DDoS packet stream pattern behaves as normal packet stream pattern and very difficult to distinguish between DDoS and normal packet stream. Network packet classification is one of the network defense system in order to avoid DDoS attacks. Artificial Neural Net...

Mutual information neuro-evolutionary system (MINES) presents a novel self-governing approach to determine the optimal quantity and connectivity of the hidden layer of a three layer feed-forward neural network founded on theoretical and practical basis. The system is a combination of a feed-forward neural network, back-propagation algorithm, genetic algorithm, mutual information and clustering....

This paper proposes an improved approach of summarization for spoken multi-party interaction, in which a multi-layer graph with hidden parameters is constructed. The graph includes utterance-to-utterance relation, utterance-to-parameter weight, and speaker-to-parameter weight. Each utterance and each speaker are represented as a node in the utterance-layer and speaker-layer of the graph respect...

*Corresponding author, Email: [email protected] Tel./Fax: +9198 3073 6116 ABSTRACT: Present paper endeavors to develop predictive artificial neural network model for forecasting the mean monthly total ozone concentration over Arosa, Switzerland. Single hidden layer neural network models with variable number of nodes have been developed and their performances have been evaluated using the...

Extreme learning machines are single-hidden layer feed-forward neural networks, where the training is restricted to the output weights in order to achieve fast learning with good performance. The success of learning strongly depends on the random parameter initialization. To overcome the problem of unsuited initialization ranges, a novel and efficient pretraining method to adapt extreme learnin...

The information processing abilities of a multilayer neural network with a number of hidden units scaling as the input dimension are studied using statistical mechanics methods. The mapping from the input layer to the hidden units is performed by general symmetric Boolean functions, whereas the hidden layer is connected to the output by either discrete or continuous couplings. Introducing an ov...

We have participated in the open tracks and closed tracks on four corpora of Chinese word segmentation tasks in CIPSSIGHAN-2010 Bake-offs. In our experiments, we used the Chinese inner phonology information in all tracks. For open tracks, we proposed a double hidden layers’ HMM (DHHMM) in which Chinese inner phonology information was used as one hidden layer and the BIO tags as another hidden l...