Übersetzung für "Inferenzmaschine" in Englisch

The inference machine writes value contexts, that is, value allocations of parameters, into the focus.

The invention teaches how the interface between the inference machine and the RMS is configured.

Activates the interactive graphic front end to the Babylon2 inference engine.

In fact this is an interactive graphic front end to the Babylon2 inference engine!

Implementation of an inference machine that provides dispositive measures in operational conflict situations.

Before the inference machine derives parameter values, it “consults” the RMS regarding known parameter values.

Whenever the inference machine changes the focus, the RMS again determines dependencies.

The inference machine evaluates the library in S 1 and the construction model in S 2 for these derivations.

A “focus” is a memory that functions as an interface between the inference machine and the RMS.

Currently only an interactive graphic front end for the outputs of the Babylon2 inference engine is availbale.

He wrote five works on the subject, the most important of which is one on inference.

The domain-specific knowledge is formulated as a set of production rules and reasoning is carried out by an inference engine through a search procedure.

The method according to claim 27, characterized in that, in dynamic technical systems, the times are described as situations, and all of the situations selected from the inference machine are placed into the permanent focus.

The state of the technology encompasses numerous methods in which the inference machine derives further parameter values, and possible diagnoses, from the measured values for a single value allocation of input parameters.

Therefore, the respective behavioral modes and situations are noted for the values that the inference machine has derived.

As is known from the state of the technology, the RMS informs the inference machine of a conflict, that is, a refuted value context.

The inference machine in a diagnosis device of the invention separates the facts involved in the conflict from the hypotheses.

The inference machine strikes all value contexts containing a hypothesis that occurs in the conflict from the retractable focus.

So that calculation results can be re-used, the inference machine requires a separate registration (the additional memory region S 8), in which, for each time t at which a parameter value is measured or set, the situation at time t and the state sets at this time are stored.

For cases in which it is necessary to take into account a particularly large number of input values that can be determined only in an unclear way, the control system as defined by the invention makes provision that aggregate-specific software fuzzy controllers can be installed on the industrial PC or industrial microcomputer. Such fuzzy controllers each consist of an aggregate-specific control base, an inference machine and a condition interface associated with the inputs, as well as an action interface associated with the outputs.

The second part comprises an inference machine operating with the knowledge. The KONWERK kernel can be applied here, as it offers favorable options for insertion of one's own strategies.

The system, written in MacLISP and implemented on a DEC-10 mainframe computer, consists of three modules: a knowledge base, a general purpose inference engine, and a human interface with explanation capabilities.

The five major aspects of expert system development are: Problem definition; knowledge acquisition, representation and coordination; inference mechanism; implementation; and learning.

Practically all diagnosis methods known from the state of the technology, and a diagnosis device within the generic scope of the present inventions, operate with an inference machine.

There is, however, no proposal for configuring the interface between the RMS and the inference machine, and how this interface is controlled.

So that the diagnosis device operates as quickly as possible and only makes the respectively necessary calculations, the focus was embodied as an interface between the inference machine and the RMS in an inventive manner.

Import your own trained models to leverage the optimization from Model Optimizer and Inference Engine, so in the end you can easily run inference for computer vision on current and future Intel® architectures to meet your AI needs.

Providing a model optimizer and inference engine, the OpenVINO™ toolkit is easy to use and flexible for high-performance, low-latency computer vision that improves deep learning inference.