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    <title>forecasting</title>
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    <language>fr</language>
    <ttl>0</ttl>
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      <title>Determinism and Chaos : A Time Perspective</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=575</link>
      <description>Chaos cannot be understood without constant reference to time. A better understanding of the 3 main abstractions that we use in relation to time (Past, Present and Future) is of basic importance. However chaos is mostly significant for our evaluation of future events: any hope for rigorously deterministic forecasting is not anymore realistic. But in any case, the chaotic crimps into general determinism do not destroy it utterly, because no event totally escapes from the structural and functional coherence of the system in which it occurs. Moreover, in complex systems, hierarchized levels of organization imply a hierarchy of determinisms and the most global ones impose some constraints upon the lesser ones. This leads to adaptability within coherence. An arithmetic model is proposed and some historic and present examples are given. As a final caveat, the uses but also the possible abuses ofthe concep ofchaos are discussed.  </description>
      <pubDate>Fri, 28 Jun 2024 10:03:58 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 14:46:35 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=575</guid>
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      <title>Neguentropy and Forecasting</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=915</link>
      <description>This communication develops the particularities of the&quot;heat-entropy&quot; which are related with the chaotic behaviour of the heat in opposition with the other kinds of energies which are polarized and well directed. By means of a fast survey of every technical domains which are stretched from the Thermodynamic to the Linguistic, including a large range of scientific disciplines related with Systems Theory, we shall discover the usefulness and power of the topic &quot;Entropy&quot; or &quot;Neguentropy&quot; to show the common influence of chaotical seeds in our surrounding. This &quot;entropic&quot; point of view allows a gain for the forecasting. the analysis and the understanding of a lot of events, designs and actions because increase of homogeneity. Neguentropical sight is anavoidably lying in the basement of every teaching _ learning and anticipatitive procedure. Indeed it is always very useful to develop a tool for the highlighting of behavioral analogy between many very various phenomena because it leads to more homogeneous planification in the forecasting procedures and it permits to save much time and a lot of thoughts by their modelings. </description>
      <pubDate>Mon, 01 Jul 2024 14:07:22 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 13:53:49 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=915</guid>
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      <title>From Frequencies to the Forecasting Processes</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3419</link>
      <description>This communication aims to show and explain the frequency influences over the signal evolutions. We draw an operational analogy between the modulations and the detection of periodic and aperiodic behaviours. Consequently g(t) is related to G(s) its Laplace picture as a frequency generator. To win more easiness in the structure analysis we will use the &quot;Bond Graph&quot; methodology and therefore we shortly notice its main specificities. After the description of the reactivity which causes the technological memory we show the operational connection from this one to the (pole - zero) pairs and underline the delivered future characteristics. From inspecting the Laplace space we remark that any root locus = {R L} structure corresponds to a set of Newton's fields what supplies a divergence field in the (Lp.sp.) = Laplace space. This Laplace distribution helps for determining the g(t) evolution characteristics. From the {R L} it is possible to deduce the system decomposition into a first-order one and a set of second-order ones, what brings a drastic analysis reduction of forecasting processes. The convolution of a system g(t) with an inflow signal x(t) will be transfered in a (Lp.sp.) what yields the angular convolution of both {R L} stars. In (Lp.sp.), are injected horizontal conjugated heliphasors for each fixed frequency pair with exp(-Δσ) as damping variation of the amplitude, resulting from the imaginary graduation and vertical damped or amplified Fourier phasors supporting (Δωι) frequency variation for exp(-σκ) as fixed amplitude. The supply of synchronous curves following the time evolution along the {R L}, acts as an extension of the Fourier wavelets. Afterwards we deduce a shortage of the (Lp.sp.) into a sector of the 2° stability quadrant. This accessible window is defined by the uppermost possible frequency. An extended (Lp.sp.) configuration describes the evolution and the management of a library or a documentation centre. For this last use, the informations will be located in the first quadrant where we can display the obtained gains and developments (= information increase) on the real axis and the use frequency of each knowledge on the imaginary one. This configuration shows the interest grade for each type of knowledge and will supply a valuable guidance to improve the future development. </description>
      <pubDate>Wed, 18 Sep 2024 12:16:40 +0200</pubDate>
      <lastBuildDate>Wed, 18 Sep 2024 12:16:56 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3419</guid>
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    <item>
      <title>Forecasts Modeling in Industrial Applications Based on Artificial Intelligence Techniques</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1798</link>
      <description>The management of industrial systems involves decision making with respect to complex processes that are often stochastic in nature. Simulation is frequently the only effective mean to model the complexity of such industrial processes. Simulation enables detailed scenario testing and, thus, is well suited for &quot;what if&quot; analysis. However, industrial users often need to solve inverse problems, such as optimization or decision analysis, which cannot be handled by simulation alone. This paper proposes the integrated use of simulation and Artificial Intelligence techniques in hybrid system architectures for advanced industrial problem solving. Hybrid Decision Support Systems (DSSs), combine the complementary strengths of different techniques for integrated forecasting ,modeling, and optimization. </description>
      <pubDate>Tue, 16 Jul 2024 15:51:31 +0200</pubDate>
      <lastBuildDate>Tue, 16 Jul 2024 15:51:42 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=1798</guid>
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      <title>Hierarchy of events in analysis and forecasting of discrete event processes</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=876</link>
      <description>Analysis and forecasting of the behaviour of a complex natural system represented by a non-numerical time series of the system's atomic activities is considered within an objective framework of discrete event systems and processes. The presented approach is based on a hierarchy of events introduced through context-dependent event-to-event operations and to illustrate it, a simple example is included. </description>
      <pubDate>Mon, 01 Jul 2024 14:04:25 +0200</pubDate>
      <lastBuildDate>Mon, 01 Jul 2024 14:04:42 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=876</guid>
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      <title>The Wishfull Anticipator</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=381</link>
      <description>La prophétie est un très ancien rêve de l'humanité : le désir de connaître l'avenir et, si possible, d'en changer le cours, est irrésistible depuis l'homme des cavernes et les chamans et est toujours présent parmi nous, depuis les cartomanciennes, les devins et les astrologues jusqu'aux planificateurs en économie et auteurs de science fiction. Il y a cependant de nombreuses limitations à l'anticipation et à l'action. Elles sont fondamentalement de deux espèces : - celles inhérentes à la nature profonde de l'évolution naturelle de n'importe quelle situation - celles qui résultent de nos propres limitations comme observateurs, en relation avec nos capacités perceptives et d'apprentissage, et aussi comme constructeurs de modèles et acteurs. Ce travail présente un survol rapide de ces divers aspects. Prophecy is a very old dream of mankind: the desire to know the future and, if possible, to twist the course of future events is overwhelming since cavemen and shamans and is still very much with us, from fortune tellers, astrologers and soothsayers to economic planners and science fiction novelists. There are however many limits to anticipation, and subsequent action. They seem to be basically of two classes : - those inherent to the deep nature of natural evolution of all kinds of situations - those related to our own limitations as observing systems, i.e. as perceivers, learners, modellers and actors. This papers presents a short overview of these topics. </description>
      <pubDate>Wed, 26 Jun 2024 12:31:42 +0200</pubDate>
      <lastBuildDate>Fri, 28 Jun 2024 17:00:10 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=381</guid>
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