Neural Networks are one of the most important paradigms for the modelling of learning in the field of computer science. Various models have been developed under different aspects of learning and referring to different types of networks
In previous attempts to identify dynamical systems properties in patterns of play in team sports, on...
Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Arti...
Abstract. Experts in ball games are characterized by extraordinary creative behavior. This article o...
Extraction of meaningful information by using artificial neural networks, where the focus is upon de...
The so called Kohonen Feature Map (KFM) is a type of Neural Network, which – after a phase of traini...
In this work the author analyzes the usage of artificial neural networks in games. The author also a...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
This thesis focuses on creating models of two different types of neural network used for predicting ...
Abstract — In this paper I describe the use of neural network in various related fields. Artificial ...
In the field of sports games the analysis of the game structure as well as the analysis of the oppon...
The article presents the basic concept of competitive learning in neural networks. Provides the main...
With the rapid development of computer science and information technology, artificial intelligence (...
Abstract. Data Mining techniques have been applied successfully in many scientific, industrial and b...
The models of the computing for the perform the pattern recognition methods by the performance and t...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
In previous attempts to identify dynamical systems properties in patterns of play in team sports, on...
Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Arti...
Abstract. Experts in ball games are characterized by extraordinary creative behavior. This article o...
Extraction of meaningful information by using artificial neural networks, where the focus is upon de...
The so called Kohonen Feature Map (KFM) is a type of Neural Network, which – after a phase of traini...
In this work the author analyzes the usage of artificial neural networks in games. The author also a...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
This thesis focuses on creating models of two different types of neural network used for predicting ...
Abstract — In this paper I describe the use of neural network in various related fields. Artificial ...
In the field of sports games the analysis of the game structure as well as the analysis of the oppon...
The article presents the basic concept of competitive learning in neural networks. Provides the main...
With the rapid development of computer science and information technology, artificial intelligence (...
Abstract. Data Mining techniques have been applied successfully in many scientific, industrial and b...
The models of the computing for the perform the pattern recognition methods by the performance and t...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
In previous attempts to identify dynamical systems properties in patterns of play in team sports, on...
Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Arti...
Abstract. Experts in ball games are characterized by extraordinary creative behavior. This article o...
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