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software network simulation program statistica automated neural networks  (TIBCO)


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    TIBCO software network simulation program statistica automated neural networks
    Software Network Simulation Program Statistica Automated Neural Networks, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/network+simulation+software/software+statistica+automated+neural+networks++sann+/pm36012906-87-7-14
    Average 90 stars, based on 1 article reviews
    software network simulation program statistica automated neural networks - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Prediction of tropospheric ozone concentration using artificial neural networks at traffic and background urban locations in Novi Sad, Serbia.
    Article Snippet: In this paper, we described generation and performances of feedforward neural network models that could be used for a day ahead predictions of the daily maximum 1-h ozone concentration (1hO3) and 8-h average ozone concentration (8hO3) at one traffic and one background station in the urban area of Novi Sad, Serbia.. The six meteorological variables for the day preceding the forecast and forecast day, ozone concentrations in the day preceding the forecast, the number of the day of the year, and the number of the weekday for which ozone prediction was performed were utilized as inputs.. The three-layer perceptron neural network models with the best performance were chosen by testing with different numbers of neurons in the hidden layer and different activation functions.

    Software:

    Article Title: Evaluation of the Progression of Periodontitis with the Use of Neural Networks.
    Article Snippet: .. The ANN was created using a software network simulation program (Statistica Automated Neural Networks, TIBCO Software Inc. (Palo Alto, CA, USA, 2017). ..



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    KEY RESOURCES TABLE

    Journal: Neuron

    Article Title: Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

    doi: 10.1016/j.neuron.2018.11.034

    Figure Lengend Snippet: KEY RESOURCES TABLE

    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Software and Algorithms Algorithms for simulation of spiking neuron networks This paper https://github.com/hcc11/SpatialNeuronNet MATLAB MathWorks https://www.mathworks.com Open in a separate window KEY RESOURCES TABLE Low-dimensional shared variability can be generated in spatial network models Synaptic spatial and temporal scales determine the dimensions of shared variability Depolarizing inhibitory neurons suppresses the population-wide fluctuations Modeling the attentional modulation of variability within and between brain areas

    Techniques: Software