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Applications Of Artificial Neural Networks From Title |
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artificial neural Network -
Multimedia & Design/Graphic & Design
... artificial neural Network is a little application designed to demonstrate artificial intelligence. Taking advantage of serialization, there are two parts of the network. The actual network, and then training data. The C# version of the artificial neural Network is much cleaner, more concise, and more efficient. for WindowsAll ...
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AI neural networks -
Utilities/Other Utilities
... Do you want a neural network OO class?With documentation?Do not go further... You found it!you have here a complete library of different neural network in an OO encapsulation.Starting from adaline, back propagation, Kohonen ...
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neural networks -
Multimedia & Design/Graphic & Design
... Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values.neural networks is a handy, easy to use tool specially designed to visually demonstrate the feedforward backpropagation algorithm. There is visual feedback for weight adjustments and error analysis. neural Network features ...
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Fast artificial neural Network Library -
Utilities/Other Utilities
... Fast artificial neural Network Library (FANN) implements multilayer artificial neural networks in C. It is cross-platform, easy to use, versatile, well documented and fast. C++, PHP, PERL, Python, Delphi, .NET, Mathematica bindings and a GUI is available ...
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NeuralCode neural networks Trading -
Business & Productivity Tools/Investment Tools
... NeuralCode is an industrial grade artificial neural networks implementation for financial prediction. The software can take data like the Opening price, High, Low, Volume and other technical indicators for predicting or uncovering trends and patterns. It is designed to utilize Supervised Learning with Multi-Layer Perceptrons and Optimized Back Propagation for complex learning. In mathematical theory, under suitable conditions, the iterative procedure of adjusting the weights causes the networks ...
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artificial Jeans -
Utilities/Other Utilities
... An artificial life simulation, with genetic instructions mimicking those of real cells as opposed to computer instructions, allowing for more realistic results. ...
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Applications Of Artificial Neural Networks From Short Description |
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NN50.DLL -
Programming/Other
... artificial neural networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological neural networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of neural networks for brain-like computations like patterns recognition, decisions making, motory control and many others is made possible by the advent of large scale computers in the late 1950's. Conventional ...
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Achilles -
Utilities/Mac Utilities
... An OpenGL simulation of artificial life and artificial evolution using neural networks and genetic algorithms based on Larry Yaeger's PolyWorld. ...
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MajorSpot AI SDK -
Utilities/Other Utilities
... An Java artificial intelligence platform comprising common AI tools (neural networks, genetic algorithms, wavelets, etc...) and examples. The platform focuses on ease of use and ease of integration.. ...
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AINalyzer -
Utilities/Other Utilities
... An artificial Intelligence based software written in Java, deployed as an EJB / WebService application and implementing neural networks for data processing. It aims to be the brain of the web by serving text classification, mood detectors, etc. ...
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JavaANPR -
Utilities/Other Utilities
... JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. ...
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IntelligenceLab VC++ -
Business & Productivity Tools
... IntelligenceLab is a set of Visual C++ components for artificial Intelligence.
Includes: neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more.
Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics, Games AI, OCR, Business logic and more.
Free for non-commercial use. ...
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Smart Stock Manager -
Utilities/Other Utilities
... The software is called 'Smart Stock Manager', and is a software tool developed the artificial neural networks - Error Back Propagation algorithm. It basically takes input from the database, the past stock values and makes a study while learning by backpr ...
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IntelligenceLab VCL -
Programming/Delphi Utilities
... Delphi/C++ Builder VCL and FireMonkey (FMX) components library for artificial Intelligence.
Includes: neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more.
Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics, Games AI, OCR, Business logic and more.
Free for non-commercial use. ...
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Applications Of Artificial Neural Networks From Long Description |
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COMPONET -
Utilities/Other Utilities
... COMPONET libraries are aimed at COMPonentization of neural networks. For developers of artificial Intelligence Systems who wish to integrate neural networks into their software platform. For help Please Join http://groups.yahoo.com/group/componet/ ...
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GINNet -
Multimedia & Design/Graphic & Design
... GINNet, also known as the Graphical Interface for neural networks was developed as a decision-making platform written in Java. It has been designed in order to favorize the development and use of neural networks. It was create so that it could make, neural networks, teaching and evaluation easier. ...
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Snort-AI -
Utilities/Other Utilities
... Objective of SnortAI project is create a family of Snort plug-ins based on artificial Intelligence (AI) technologies (i.e. artificial neural networks or Fuzzy Logic) to detect different kinds of hostile traffic. ...
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OLSOFT neural Network Library -
Programming/Components & Libraries
... OLSOFT neural Network Library is a fully self-contained COM ActiveX control written in Visual C++ 6.0 and ATL. There are no external dependencies required for its operation such as other DLLs. OLSOFT neural Network Library is the class to create, learn and use Back Propagation neural networks and SOFM (Self-Organizing Feature Map). The library makes integration of neural networks functionality into your own applications easy and seamless. ...
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OptimuStock -
Business & Productivity Tools/Investment Tools
... OptimuStock is the new generation of intelligent forecasting software based on neural network technology. DonOCOt be intimidated by these terms. You donOCOt need to be an expert in artificial intelligence to use our software. In just 3 clicks, you can start to predict the stock prices. Generally, OptimuStock use the ability of nonlinear machine learning models to forecast market direction/prices using technical indicators and fundamental data as features. OptimuStock is the only forecasting ...
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DynNet -
Programming/Components & Libraries
... DynNet is built as a Java library that contains basic elements that are necessary in order to build neural networks. neural network classical models are already available (Multi-layer perceptron, Kohonen self-organizing maps, neural gas, growing neural gas, etc.). ...
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JGod -
Utilities/Mac Utilities
... neural networks evolution (genetic algorithm) written in Java. Now neural networks try to playing Go, Tic-Tac-Toe. ...
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Sharky neural Network -
Educational/Mathematics
... neural network classification results live view (like a movie).Free software for playing with neural networks classification.Major features* Easy, ready to play with.* Live view.* Many network architectures.* Different shapes of training data sets.* Learning with backpropagation algorithm.* Optional momentum.For better understanding of neural networks. ...
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SwingNN -
Business & Productivity Tools/Math & Scientific Tools
... Your data is imported into a grid and used to train a neural network. The input values are forced to swing beyond their limits. The output values are forecasted by the neural network. A new neural network is created using the new inputs and forecasted outputs. The neural networks are compared. The inputs are adjusted and another new neural network is created. The process continues until a new neural network agrees with the original about the forecasts. The forecasts are added to the ...
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neural Network Component -
Programming/ActiveX Components
... artificial neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation neural Network and to train it with provided samples, then finally recall it with appropriate data. ...
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Applications Of Artificial Neural Networks Related Searches: |
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