XJ Technologies recently used a Beta version of BNet.EngineKit to implement belief networks in their simulation tool, AnyLogic.
BNet™.EngineKit
Spend your time being an expert in your field, not becoming an expert in Bayesian Networks
BNet.EngineKit is a developer toolkit for researchers and engineers to use to embed belief networks in software applications. Unique in its focus on clear APIs with the right functionality, BNet.EngineKit offers software developers who aren’t inference algorithm specialists a chance to use Bayesian networks without spending years learning about them.
BNet.EngineKit includes:
- Clear, concise documentation – to get you to implementation quickly
- Beliefs & Evidence Tools – Building the code to get beliefs out and enter evidence into a network are the most common and most time consuming tasks in building applications that use belief networks.
- Fast Inference – Charles River Analytics’ proprietary inference engine, available only in BNet products, is one of the fastest belief network inference engines available
- Learning - BNet.EngineKit can learn your CPTs from data in both fully and partially observed Bayesian networks.
- Multithreading Support – Thread-compatible engine and documentation to help you implement multithreading in your projects
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