Add to ORKGThis Bechelor’s thesis will cover the theme of neural networks, their history, characteristics, basic typology of neural networks and learning algorithms and analysis of their applications demonstrated in simple examples created in MATLAB software
Objective of this master's thesis is optimizing of neral network topology using some of evolutionary...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1991.Title as it a...
This bachelor thesis discusses the basic theory and modelling of neural networks in the software env...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Bachelor's thesis describes the basics of issue of multilayer neural networks and explains principle...
This article discusses the study of neural networks and their types. Areas of application of neural ...
The aim of this thesis is to present a consistent insight into the most frequently used types of art...
The aim of this thesis is to explain and practically show the operation of different types of neural...
In focus of this dissertation is the theoretical background of the neural networks with a descriptio...
Specialists and non-specialists in artificial neural networks (ANN) must closely interact in many ap...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Objective of this master's thesis is optimizing of neral network topology using some of evolutionary...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1991.Title as it a...
This bachelor thesis discusses the basic theory and modelling of neural networks in the software env...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Bachelor's thesis describes the basics of issue of multilayer neural networks and explains principle...
This article discusses the study of neural networks and their types. Areas of application of neural ...
The aim of this thesis is to present a consistent insight into the most frequently used types of art...
The aim of this thesis is to explain and practically show the operation of different types of neural...
In focus of this dissertation is the theoretical background of the neural networks with a descriptio...
Specialists and non-specialists in artificial neural networks (ANN) must closely interact in many ap...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Objective of this master's thesis is optimizing of neral network topology using some of evolutionary...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1991.Title as it a...