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Titlebook: Recent Research in Control Engineering and Decision Making; Olga Dolinina,Alexander Brovko,Vladik Kreinovich Conference proceedings 2019 T

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樓主: HAVEN
51#
發(fā)表于 2025-3-30 12:17:00 | 只看該作者
52#
發(fā)表于 2025-3-30 12:30:48 | 只看該作者
Principles of Managing the Process of Innovative Ideas Genesisis no clear understanding how innovations are generated and what their genesis is. The description of the life cycle of the creation, development and implementation of innovation usually begins with the words: “Innovation is given”, but who gives it, where and how the innovative idea is born, is not
53#
發(fā)表于 2025-3-30 18:01:53 | 只看該作者
Software Package for Modeling the Process of Fire Spread and People Evacuation in Premisesion in premises. The dangerous fire factors spread model included in the package consist of fire and heat spread models. The first one is based on two-dimensional four-state probabilistic cellular automaton, the second one is based on simple graph theory apparatus and basics of thermodynamics. The p
54#
發(fā)表于 2025-3-30 20:50:34 | 只看該作者
Nonlinear Information Processing Algorithm for Navigation Complex with Increased Degree of Parametriorithm has been developed using an SDC representation of the navigation system’s error model matrix. To improve the accuracy of the model, a method is proposed for increasing the degree of identifiability of the parameters in the model matrix. The problem of identification of nonlinear systems is in
55#
發(fā)表于 2025-3-31 02:39:52 | 只看該作者
The Task of Reducing the Cost of Production During Welding by Robotic Technological Complexesent of the problem is given, models and algorithms for its solution are considered. The solution of the problem is built on minimizing the probability of fail a developed plan of activities for reducing the production cost. For this purpose, a graph of the plan of activities is constructed, its mini
56#
發(fā)表于 2025-3-31 09:01:54 | 只看該作者
57#
發(fā)表于 2025-3-31 09:55:42 | 只看該作者
High Generalization Capability Artificial Neural Network Architecture Based on RBF-Network (ANN) based on RBF-network is presented with a learning algorithm to train it. The presented architecture is multi-layer, unlike original RBF-network thus has a potential in deep learning. Numeric results lead to a conclusion about error level fluctuations being significantly lower for the presente
58#
發(fā)表于 2025-3-31 15:45:40 | 只看該作者
59#
發(fā)表于 2025-3-31 20:10:56 | 只看該作者
Optimization of the Hardware Costs of Interpolation Converters for Calculations in the Logarithmic NIt provides greater accuracy and speed of computation with a comparable range of representation of numbers. However, the widespread use of LNS is prevented by the need to apply interpolation to convert numbers from the traditional format and back, and to perform addition/subtraction operations. Know
60#
發(fā)表于 2025-4-1 00:46:22 | 只看該作者
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