neural network simulation
Neural Network Designer 0.2
Neural Network Designer becomes familiar to users as the first application which is based on the logical neural network concept. more>> <<less
Neural Network Designer is widely known as the first and effective ... logical neural network concept which provides a graphical interface to design, program andAssembler-based Neural Network Simulator 1
Assembler-based Neural Network Simulator comes as a useful and intuitive neural network simulator that is created based on assembler language with an impressive Matlab interface. more>> <<less
Java Neural Network 1
intermediate to advanced Java programmer how to create neural networks more>> Programming Neural Networks in Java will show the intermediate to
advanced Java programmer how to create neural networks. This book
attempts to teach neural network programming through two mechanisms.
First the reader is shown how to create a reusable neural network
package that could be used in any Java program. Second, this reusable
neural network package is applied to several real world problems that
are commonly faced by IS programmers. This book covers such topics as
Kohonen neural networks, multi layer neural networks, training, back
propagation, and many other topics.
Chapter 1: Introduction to Neural Networks
Chapter 2: Understanding Neural Networks
Chapter 3: Using Multilayer Neural Networks
Chapter 4: How a Machine Learns
Chapter 5: Understanding Back Propagation
Chapter 6: Understanding the Kohonen Neural Network
Chapter 7: OCR with the Kohonen Neural Network
Chapter 8: Understanding Genetic Algorithms
Chapter 9: Understanding Simulated Annealing
Chapter 10: Eluding Local Minima
Appendix A. JOONE Reference
Appendix B. Mathematical Background
Appendix C. Compiling Examples under Windows
Appendix D. Compiling Examples under Linux/UNIX<<less
Fireworks Simulation Engine 2
Simulate various linked effects and particle characteristics such as blinking and fade. more>>
Fireworks Simulation Engine 2 offers players an OpenGL 3D simulator for pyrotechnics effects. You can specify particle quantity, characteristics like colors, fade, blinking, speed, G forces. Can simulate complex linked effects with multiple sub-effect.
Enhancements: Version 2.0 added joystick support.
Neural Networks Based Signature Recognition 1.0
Signature verification technology utilizes the distinctive aspects of the signature to verify the identity of individuals more>>
Neural Networks Based Signature Recognition 1.0 is a helpful and intelligent system with the ability to utilize the distinctive aspects of the signature to verify the identity of individuals. The technology examines the behavioral components of the signature, such as stroke order, speed and pressure, as opposed to comparing visual images of signatures.
Unlike traditional signature comparison technologies, signature verification measures the physical activity of signing. While a system may also leverage a comparison of the visual appearance of a signature, or "static signature," the primary components of signature verification are behavioral. In the last few decades, many approaches have been developed in the pattern recognition area, which approached the off-line signature verification problem. There are two main approaches for off-line signature verification: static approaches and pseudodynamic approaches.
Java Neural Network Examples 1
Learn about neural network in Java. more>>
Java Neural Network Examples 1 is an open collection of neural network examples in Java. It includes JOONE examples, the traveling salesman, optical character recognition, handwriting recognition, fuzzy logic, and neural network pruning. Full source code is included.
Financial Market Simulation 0.8
Financial Market Simulation is a project dedicated to making a simulation of the financial market using multi-agent approach. more>>
In brief, that means there have been created of thousands of traders, given them different amounts of money to start with, different decision making strategies, distribute all shares among them and put them in a virtual market to see how they will act.
Sort of an artificial life, but with a serious purpose, as you may see from this programs main features.
Main features:
- Learn how different economic parameters are interconnected.
- Learn to predict real market prices and indexes
- Find optimal strategies for traders and investors on financial market.
- Find main factors that can influence market collapses. It may be actions of main traders, change in macroeconomic parameters or bad news.
Sharky Neural Network 0.9b
Sharky Neural Network will make you satisfied because it is made for playing with neural networks classification. more>>
Sharky Neural Network 0.9b will make you satisfied because it is made for playing with neural networks classification.
Sharky Neural Network is a meural network classification results live view (like a movie). Sharky Neural Network is easy to use and ready to play with you. It has different shapes of training data sets so you can learn even with backpropagation algorithm.
Major Features:
- Easy, ready to play with.
- Live view.
- Many network architectures.
- Different shapes of training data sets.
- Learning with backpropagation algorithm.
- Optional momentum.
- Windows 2000/XP/Vista.
Sharky Neural Network 0.9.Beta
Sharky Neural Network Neural network classification results live view Free software for playing with neural networks classification more>>
Sharky Neural Network Neural network classification results live view Free software for playing with neural networks classification. With neural network classification results live view (like a movie). Major features: * Easy, ready to play with. * Live view. * Many network architectures. * Different shapes of training data sets. * Learning with backpropagation algorithm. * Optional momentum. Applications: Education - For better understanding of neural networks.<<less
Neural Networks - DCT for Face Identification 1
Neural Networks - DCT for Face Identification. Matlab source code. High information redundancy and correlation in face images result in inefficiencies when such images are used directly for more>>
Neural Networks - DCT for Face Identification 1 is developed to be a useful and essential source code for Matlab. High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. Discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth.
It is demonstrated experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
Requirements: Matlab Image Processing Toolbox and Matlab Neural Network Toolbox
Neural Networks - DCT for Face ...Neural Networks - DCT for Face Identification 1License:Freeware
Java Neural Network Framework Neuroph 2.3.1
Java Neural Network Framework Neuroph is launched to help users develop and simulate common neural network architectures. more>> <<less
Java Neural Network Framework Neuroph 2.2 is a flexible ... to develop and simulate common neural network architectures. It contains well designed JavaWavelet-Neural Networks Based Face Recognition 1
Use transform coefficients in recognizing facial features. more>> <<less
The Essential Network Marketing Guide 1
This Special Free Report on The Essential Network Marketing Guide will save you tons of time, effort and money from falling into the pitfalls and traps in Network Marketing more>> <<less
EMP Network Manager 2.00
Will manage all the EPSON projector connections. more>> Will manage all the EPSON projector connections.
The EMP Network Manager application was designed to help you manage all the projector connections.
System requirements:
- EPSON Projector
Weighscore Neural Network Command Line Tool 2
Weighscore Neural Network Command Line Tool is one of the most advantageous tools which may train neural networks using JDBC datasources and store the neural network in an XML file. more>> <<less
