Aggregation correct operations on algorithms

Shibzukhov, Z. M.

doi:10.1134/s1064562415030357

“…As a result, each disjunct receives a minimized knowledge base corresponding to the set of rules described by this disjunct. Such disjuncts have a number of properties (Shibzukhov, 2014). They break down the information about the solution domain into all possible IT classes.…”

Section: A Logical Approach To Designing An Algorithm Based On the Ru...mentioning

confidence: 99%

Development Of An Effective Strategy For Regional Socio-Economic Development

Mottaeva¹

2022

European Proceedings of Social and Behavioural Sciences

0

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The study of mountain areas has always received great attention from science. However, the lack of a unified model for the development of mountain areas leads to a variety of recommendations that may not always be consistent. To achieve sustainable development, it is necessary to conduct a comprehensive assessment of the natural resource potential and level of economic development of the analyzed territory. The object description is an m-dimensional vector, where m is the number of signs used to characterize the object, with the j-th coordinate of this vector equal to the value of the j-th feature, j = 1 ,. .., m. In the description of an object, the absence of information about the meaning of a particular feature is permissible. The combination of a certain number of objects and their attributes is a sample on which n algorithms (proposed development models) have been worked out. The quality of operation of each algorithm is assessed (the model is estimated by the Boolean function). None of the algorithms considered performed perfectly on all the set of specified objects. A logical method is proposed for constructing a new algorithm (correction model), which is optimal on the entire set of recognized objects. The result of the study is the optimal model which includes the positive properties of the previously considered models and corrects their shortcomings. The proposed approach may be the basis for obtaining expert assessments and recommendations in order to build an optimal strategy for the development of mountain areas.

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“…Of great interest are direct sums that allow you to simultaneously form the architecture of a computer network and configure its parameters, without resorting to solving complex optimization problems to achieve the correctness of its functioning [5].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Algorithm for constructing logical operations to identify patterns in data

Lyutikova

¹

,

Shmatova

²

2020

E3S Web Conf.

9

0

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Neural networks have proven themselves in solving problems when the input and output data are known, but the cause and effect relationship between them is not obvious. A well-trained neural network will find the right answer to a given request, but will not give any idea about the rules that form this data. The paper proposes an algorithm for constructing logical operations, in terms of multi-valued logic, to identify hidden patterns in poorly formalized areas of knowledge. As the basic elements are considered many functions of the multi-valued logic of generalized addition and multiplication. The combination of these functions makes it possible to detect relationships in the data under study, as well as the ability to correct the results of neural networks. The proposed approach was considered for classification problems, in the case of multidimensional discrete features, where each feature can take k-different values and is equivalent in importance to class identification.

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Algorithm for Constructing Logical Operations to Identify Patterns in Data

Lyutikova

¹

,

Shmatova

²

2020

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

0

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Neural networks have proven themselves in solving problems when the input and output data are known, but the cause and effect relationship between them is not obvious. A well-trained neural network will find the right answer to a given request, but will not give any idea about the rules that form this data. The paper proposes an algorithm for constructing logical operations, in terms of multi-valued logic, to identify hidden patterns in poorly formalized areas of knowledge. As the basic elements are considered many functions of the multi-valued logic of generalized addition and multiplication. The combination of these functions makes it possible to detect relationships in the data under study, as well as the ability to correct the results of neural networks. The proposed approach was considered for classification problems, in the case of multidimensional discrete features, where each feature can take k-different values and is equivalent in importance to class identification.

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Aggregation correct operations on algorithms

Cited by 5 publications

References 4 publications

Development Of An Effective Strategy For Regional Socio-Economic Development

Development Of An Effective Strategy For Regional Socio-Economic Development

Algorithm for constructing logical operations to identify patterns in data

Algorithm for Constructing Logical Operations to Identify Patterns in Data

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