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Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query
White Papers This paper proposes a new learning methodology towards developing a novel Intrusion Detection System (IDS) by BackPropagation Neural networks (BPN) with sample-query and attribute-query. The growing network intrusions have put companies and...
[June 19, 2008, 1:01]
High Performance Convolutional Neural Networks for Document Processing
White Papers Convolutional Neural Networks (CNNs) are well known for producing state-of-the-art recognizers for document processing. However, they can be difficult to implement and are usually slower than traditional Multi-Layer Perceptrons (MLPs).
[May 8, 2007, 1:00]
Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines
White Papers Two classes of learning machines for IDSs are studied: Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Computational Intelligence (CI) methods are increasingly being used for problem solving.
[October 14, 2008, 1:01]
The Concept of Classification in Data Mining Using Neural Networks
White Papers The concept of classification in Data Mining using neural networks involves taking day to day invoicing data of the customers as the base. The paper uses a 3 layer feed forward Artificial Neural Network (ANN) using back propagation algorithm as a...
[October 7, 2008, 1:01]
RT-UNNID: A Practical Solution to Real-Time Network-Based Intrusion Detection Using Unsupervised Neural Networks
White Papers Regards to the growing rate of network attacks, using intelligent methods especially neural networks in constructing efficient and reliable Intrusion Detection Systems (IDSs) to detect new unknown attacks has been the interest of some researchers...
[June 24, 2009, 16:02]
Application of New Adaptive Higher Order Neural Networks in Data Mining
White Papers This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The proposed adaptive HONN model offers significant advantages over...
[August 29, 2009, 1:21]
Real-Time Network Intrusion Detection System Based on Neural Networks
White Papers This paper describes a Neural Network (NN) based NIDS architecture. Traditional Network Intrusion Detection Systems (NIDSs) use rules to detect intrusions, with these rules being updated manually by knowledgeable engineers.
[June 24, 2009, 16:02]
Network-Based Intrusion Detection Using Neural Networks
White Papers With the growth of computer networking, electronic commerce, and web services, security of networking systems has become very important. Many companies now rely on web services as a major source of revenue.
[June 19, 2008, 1:01]
A Study on Classification Techniques for Network Intrusion Detection
White Papers This paper compares the ability of three classification techniques (k-means classifiers, neural networks and support vector machines) to perform for network intrusion detection applications. The results indicate that Support Vector Machines train...
[June 18, 2008, 1:01]
Artificial Intelligence: DNA sequencers to dancing robots
News Neural networks have been one of the great success stories of AI research and in software or hardware form are now found in a wide variety of applications where the system's ability to learn is important.
[March 28, 2006, 11:40]
IBM To Create The Great Brain Thinking Machine.
Blog The technology exists now to create structures that match the density of neural and synaptic networks as they are in real brains. Not to forget that we have already been playing with neural networks for some time, thus creating an AI that has the...
[November 22, 2008, 17:13]
Rupert Goodwins' Diary
Blog Some intriguing work is going on with evolutionary computing coupled to neural networks, following the same model as the human brain seems to follow when it first gets going in a body. This month, an experiment to monitor his neural impulses...
[August 29, 2003, 19:05]
Organic robot mixes rat brain with silicon
News We hope to learn how living neural networks may be applied to the artificial computing systems of tomorrow. The neural activity recorded by the electrodes is transmitted to the robot, which serves as a body for the cultured networks.
[June 13, 2003, 16:19]
National chief executive predicts date of tech upturn
News Using complex mathematical models, neural networks, historical patterns and an eye toward current events, Halla -- with a dose of Vegas showmanship -- predicted in a keynote speech at Comdex Fall 2002 on Tuesday that the tech industry will be at...
[November 20, 2002, 7:41]
M-5 Neural Network Computer
Downloads Simulated Neural Networks can outperform traditional computers at some tasks! M-5 uses the classic Feed Forward Back Propagation algorithm to adjust connection strengths (weights). It uses floating point math to provide results equivalent to or...
[October 28, 2002, 7:00]
Baseball Predictor
Downloads With the help of advanced algorithms based on neural networks this revolutionary software will predict baseball (MLB) game results with great accuracy. Gives you the best recommendations for the day, Outright winner, Asian Handicap or Over/Under.
[July 31, 2007, 9:11]
Alyuda Forecaster XL
Downloads Alyuda Forecaster XL is a forecasting add-in for MS Excel based on neural networks. It features a breakthrough constructive algorithm with complete automation of neural network architecture selection and network training.
[May 29, 2003, 15:31]
Application of SVM and ANN for Intrusion Detection
White Papers Two data mining methodologies - Artificial Neural Networks (ANNs) and Support Vector Machine (SVM) and two encoding methods - simple frequency-based scheme and tf×idf scheme are used to detect potential system intrusions in this study.
[June 24, 2009, 16:02]
Agushka Backgammon
Downloads This backgammon game is designed to have a more advanced level of play than other programs, with a computer opponent modeled on neural networks. Its features include four skill levels, optional doubling cube, games statistics, zoom, optional move...
[October 16, 2008, 8:00]
Performance Comparison of Intrusion Detection System Classifiers Using Various Feature Reduction Techniques
White Papers Many Intrusion Detection Systems are based on neural networks. To enhance the learning capabilities and reduce the computational intensity of competitive learning neural network classifiers, different dimension reduction techniques have been proposed.
[June 18, 2008, 1:01]
