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ANNJ, Another Neural Network for Java is a neural network framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
SIES is a forward-chaining rule engine server. Clients connect to update a global knowledge-base and/or can register to be notified when specified elements are inferred. Local access for a client's own inferences is also possible.
Algernon is a rule-based reasoning engine written in Java. It allows forward and backward chaining across Protege knowledge bases. In addition to traversing the KB, rules can call Java functions and LISP functions (from an embedded LISP interpreter)
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
JEOPS is a Java based forward chaining RULE ENGINE.
This Rule Engine is used to power up the business process by rules in Java Application Servers, client applications, and Servlets.
HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
A straight-forwardJava implementation of a mixture model with pluggable mixture functions, e.g. a mixture of Gaussian functions. The number and dimensionality of the mixture functions is not limited. All critical calculations are performed in log-space.