artificial neural network tibco software (TIBCO)
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TIBCO
artificial neural network tibco software
Artificial Neural Network Tibco Software, 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/neural+networks+software/artificial+neural+network+tibco+software/pmc11567685-15-13-16
Average 90 stars, based on 1 article reviews
Artificial Neural Network Tibco Software, 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/neural+networks+software/artificial+neural+network+tibco+software/pmc11567685-15-13-16
Average 90 stars, based on 1 article reviews
artificial neural network tibco software - by Bioz Stars,
2026-09
90/100 stars
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Software:Article Title: An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation. Article Snippet: Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking.. In the present study different techniques (response surface analysis, multilayer perceptron neural network, and partial least squares method) were applied for modeling of spray-on fluidized bed melt granulation.. Experiments were organized in line with central composite design. Article Title: Estimation and modeling true metabolizable energy of sorghum grain for poultry. Article Snippet: .. The ANN processing was conducted using Article Title: Contribution of the physicochemical properties of active pharmaceutical ingredients to tablet properties identified by ensemble artificial neural networks and Kohonen's self-organizing maps. Article Snippet: The aim of this study was to create a tablet database for use in designing tablet formulations.. We focused on the contribution of active pharmaceutical ingredients (APIs) to tablet properties such as hardness and disintegration time (DT).. Before we investigated the effects of the APIs, we optimized the tablet base formulation (placebo tablet) according to an expanded simplex search. Article Title: Modeling the tryptic hydrolysis of pea proteins using an artificial neural network Article Snippet: Experimentally determined values for the degree of hydrolysis (DH) were used with an artificial neural network (ANN) model to predict the tryptic hydrolysis of a commercially available pea protein isolate at temperatures of 40, 45, and 50 1C.. Analyses were conducted using the STATISTICA Neural Networks software on a personal computer.. Input data were randomized to two sets: learning and testing. Article Title: Anatomic segmentation improves prostate cancer detection with artificial neural networks analysis of 1 H MRSI Article Snippet: .. ANN analysis was performed on a Pentium 4, 3.2 GHz computer using Article Title: Electronic employee selection systems and methods Article Snippet: .. For example, NEURALWORKS software (e.g., NEURALWORKS Professional II/Plus) marketed by NeuralWare of Carnegie, Pa. and Article Title: Combined application of mixture experimental design and artificial neural networks in the solid dispersion development. Article Snippet: This study for the first time demonstrates combined application of mixture experimental design and artificial neural networks (ANNs) in the solid dispersions (SDs) development.. Ternary carbamazepine–Soluplus –poloxamer 188 SDs were prepared by solvent casting method to improve carbamazepine dissolution rate.. The influence of the composition of prepared SDs on carbamazepine dissolution rate was evaluated using D-optimal mixture experimental design and multilayer perceptron ANNs. Article Title: Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence Article Snippet: .. The ANN model was constructed using Construct:Article Title: Contribution of the physicochemical properties of active pharmaceutical ingredients to tablet properties identified by ensemble artificial neural networks and Kohonen's self-organizing maps. Article Snippet: The aim of this study was to create a tablet database for use in designing tablet formulations.. We focused on the contribution of active pharmaceutical ingredients (APIs) to tablet properties such as hardness and disintegration time (DT).. Before we investigated the effects of the APIs, we optimized the tablet base formulation (placebo tablet) according to an expanded simplex search. Article Title: Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence Article Snippet: .. The ANN model was constructed using |
