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Neural Network Kitchen Server
Downloads This is an extended and commercial release of our product : Neural Network Kitchen that brings the possibility to create your own artificial neural network on your hard drive or on a *remote OS X computer*.
[July 16, 2002, 8:00]
Neural Network Kitchen
Downloads Neural Network Kitchen 3.5(NNK) is a graphical user interface allowing to create easily your own artificial neural network. You can create backpropagation or Kohonen.You can use artificial neural network for financial forecasting, pattern...
[July 19, 2002, 8:00]
Neural Creator
Downloads Neural Creator is a visually based neural network development system that can be trained to perform pattern matching or make predictions on noisy/fuzzy data. It has an easy to use interface and comes with example projects and prebuilt neural...
[April 11, 2005, 8:00]
Neural-Based Quality of Service Estimation in MPLS Routers
White Papers As MPLS is standardized by Internet Engineering Task Force (IETF) and is expected to be implemented in the near future, this paper addresses the issue of QoS estimation in a MLPS router fed with bursty traffic by means of a neural network.
[June 25, 2008, 1:01]
Neural Creator
Downloads Neural Creator is a visually based neural network development system that can be trained to perform pattern matching or make predictions on noisy/fuzzy data. It has an easy to use interface and comes with example projects and prebuilt neural...
[April 11, 2005, 8:00]
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]
A Genetic-Neural Approach for Mobility Assisted Routing in a Mobile Encounter Network
White Papers This paper proposes an architecture in which a trained neural network is fed information about the message and the encountered peer, and which then decides whether to forward the message to the encountered peer.
[November 26, 2009, 23:00]
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]
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]
A New Algorithm for Crossbar Switch Problem Using Hopfield Neural Network With Continuous Hysteresis Neurons
White Papers This paper proposes a continuous hysteresis neurons Hopfield neural network architecture for efficiently solving crossbar switch problems. A Hopfield neural network architecture with continuous hysteresis and its collective computational properties...
[September 11, 2008, 1:01]
Real Neural Network
Downloads Real Neural Network 2.0 (RNN) is a graphical user interface allowing to create easily your own artificial neural network.RNN is fully cocoa, multithreaded and real time.You can create backpropagation or Bidirectional Associative Memory neural...
[November 6, 2001, 7:00]
A Neural Network Based System for Intrusion Detection and Classification of Attacks
White Papers This paper presents a neural network approach to intrusion detection. While most of the previous studies have focused on classification of records in one of the two general classes - normal and attack, this research aims to solve a multi class...
[June 19, 2008, 1:01]
Hybrid Flexible Neural-Tree-Based Intrusion Detection Systems
White Papers This paper proposes an IDS model based on a general and enhanced flexible neural tree (FNT). Based on the predefined instruction/operator sets, a flexible neural tree model can be created and evolved.
[June 19, 2008, 1:01]
HIDE: A Hierarchical Network Intrusion Detection System Using Statistical Preprocessing and Neural Network Classification
White Papers This paper introduces the Hierarchical Intrusion DEtection (HIDE) system, which detects network-based attacks as anomalies using statistical preprocessing and neural network classification. Five different types of neural network classifiers are...
[June 3, 2008, 6:09]
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]
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]
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 paper uses a 3 layer feed forward Artificial Neural Network (ANN) using back propagation algorithm as a framework to classify customers of a German automobile company into different categories. The concept of classification in Data Mining using...
[October 7, 2008, 1:01]
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]
An Artificial Neural Nets for Spam e-Mail Recognition
White Papers The volume of unsolicited commercial e-mail messages (also called as junk e-mail or spam) transmitted by the Internet has reached epidemic proportions nowadays. Computer viruses and spaming are closely related.
[October 14, 2008, 1:01]
