OpenDDPT 0.3.2
OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
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Backpropagation Download
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1Freeware
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2Sharky Neural Network 0.9.Beta 1.0
* Learning with backpropagation algorithm. * Optional momentum. For better understanding of neural networks.Freeware -
3Race Predictor 3.0.0.0
Trained using backpropagation the network was presented with over 1.1 million 2 horse races along with the actual results. The network is then trained to recognise even very slight relationships between the input race data and the output result.$3.99 -
4easyNeurons 6.0
easyNeurons is a GUI neural network editor. With this program, you can experiment with common neural network architectures. Neural networks are computational models inspired by the known principles of how brain works. Neural network consists of a set ... -
5MemBrain 3.1
MemBrain is a powerful graphical neural network editor and simulator for Microsoft Windows, supporting artificial neural networks of arbitrary size and architecture. Some core features of MemBrain are: * Transfer of trained neural nets into production ... -
6Peltarion Synapse 1.5
Peltarion Synapse is the most advanced development environment for adaptive systems on the market. It allows you to thoroughly analyze and process your data and then design, train, post-process and deploy adaptive systems to solve your task. Featuring ...$670.40 -
7Neural Network & Fuzzy Systems
Some of topics Covered in this application are: 1) Register Allocation and Assignment 2) The Lazy-Code-Motion Algorithm 3) Matrix Multiply: An In-Depth Example 4) Rsa topic 1 5) Introduction to Neural Networks 6) History of neural networks 7) Network architectures 8) Artificial Intelligence of neural network 9) Knowledge Representation 10) Human Brain 11) Model of a neuron 12) Neural Network as a Directed Graph 13) The concept of time in neural networks 14) Components of neural Networks 15) Network Topologies 16) The bias neuron 17) Representing neurons 18) Order of activation 19) Introduction to learning process 20) Paradigms of learning 21) Training patterns and Teaching input 22) Using training samples 23) Learning curve and error measurement 24) Gradient optimization procedures 25) Exemplary problems allow for testing self-coded learning strategies 26) Hebbian learning rule 27) Genetic Algorithms 28) Expert systems 29) Fuzzy Systems for Knowledge Engineering 30) Neural Networks for Knowledge Engineering 31) Feed-forward Networks 32) The perceptron, backpropagation and its ...$1.00