Übersetzung für "Prognosesystem" in Englisch

This depends on building up a kind of forecasting system.

The prediction system of claim 1, wherein the granularity feature of the Configuration Manager Module (103) may comprise:

The prediction system of claim 1, wherein the linear supervised learning algorithm is Linear Regression.

The integrated forecast system determines future load curves based on the archived measured values and counter values.

Again at national level, there is also a need for emphasis on the following elements: (i) research into sources of new employment, and a forecasting system to identify them, (ii) vocational training and re-training programmes, (iii) a lifelong learning strategy, (iv) labour market regulation which is conducive to mobility and the development of skills.

In the Czech Republic, to date there is no major regular and reliable system of forecasting in place and therefore very little application of forecasting in policy formulation.

Following the transition from a planned to a market economy in Hungary, there have been attempts to create its own central forecasting system.

Such coordination could involve better and more targeted resources spent on forecasting, extension of forecasting (if not already existing) to all sectors of the labour market and involvement of all relevant stakeholders in the forecasting system (such as social partners, public employment services, national statistical institutes, research organisations, and educational institutions).

Table 1 shows that the USA has a coherent and comprehensive forecasting system, based on a single forecasting model, which integrates a range of information sources.

Retained projects where synergies maybe possible include ENSEMBLES, an Integrated Project that will develop an ensemble prediction system for climatechange based on the state-of-the-art highresolution Earth System models devel-

The central area of food demand is recorded using an elasticity-based analysis and forecasting system (SCHEIN 1993).

In Poland, the reintroduction of the previous forecasting system, and its subsequent improvement, should be a priority activity to improve the capacity to anticipate labour market and skills needs in the country.

This model development process resulted in a prognosis system consisting of a large number of variable, non-linear regression models.

Farmos, a leading cleansing solution provider in Finland, the Baltics and Russia, implemented the Relex Forecaster –system during the spring of 2010.

The prediction system of claim 1, wherein the supervised learning algorithm is one of Sequential Minimal Optimization (SMO) or Linear Regression.

The prediction system of claim 4, wherein each attack record may contain additional information describing different aspects of the attack.

The prediction system of claim 1, wherein the Data Aggregator and Feature Extractor (104) is configured to create the required features and target variables for the modeling task by using the following two layers of analysis:

The prediction system of claim 1, wherein the generated models are persistent in the Attack Rate Prediction Models Database and configured to be retrieved by a user as needed.

The prediction system of claim 1, wherein a subset of attacking countries are selected using a GEO-IP service/API which is capable of matching source IP addresses to geo-locations.

The prediction system of claim 1, wherein the information about each attack record in the Sensor Attack Data Database (101) must comprise at least the following attributes:

The prediction system of claim 5, wherein the additional information in each attack record comprises at least one of: target port number of an accessed resource in a WEB honeypot and type of observed attack according to IDS system.

The financial assistance contract of the project "ProRaab(a), Forecast model of the River Raba" was signed on March 8, 2010.

For example, on its digital platform AVIATAR Lufthansa Technik developed a prognostic system that allows the continuous optimum trimming of the aileron, which in turn significantly reduces kerosene consumption and CO2 emissions. This is no longer a vision of the future but a solution used in daily operations.