Download
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
Features
- multilayer perceptron neural network
- linear, sigmoid and bipolar sigmoid activation functions
- training, generalization and validation datasets
- backpropagation learning algorithm
- save the trained neural network to a file using binary serialization
- load neural network from file using binary deserialization
- approximation of functions of several variables
- time series prediction
- pattern recognition
- usefulness to solve most of the problems
- simple expert systems
- included simulation program for .NET
Project Samples
License
GNU Library or Lesser General Public License version 2.0 (LGPLv2)Follow Neural Libs
Other Useful Business Software
Deploy Apps in Seconds with Cloud Run
Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Neural Libs!
