Add to ORKGAbstract:- The paper presents the method of Self-Organizing Maps used as classifier of hydroacoustic signals generated by moving ship. The main task of proposed solution is to classify the objects which made the underwater noises. From the technique of neural network the Kohonen networks which belongs to group of self organizing networks where chosen to solve the research problem. Hydroacoustic signals were acquired on the hydroacoustic range during the complex ship measurement. At the end the results of classification of underwater noises made by ship were presented
Abstract. Kernel-based algorithms such as support vector machines (SVMs) are state-of-the-art in mac...
The subject of the examinations carried out is hydroacoustic noise in coastal zones. Under these con...
In recent years, the growth of marine traffic in ports and their surroundings raise the traffic and ...
The paper presents the method of neural network used as classifier of hydroacoustic signals made by ...
The paper presents the technique of artificial neural networks used as classifier of hydroacoustic s...
The detection, classification, identification and recognition ships noise features have been of the ...
A submarine navigator have to keep track of surrounding ships in order to avoid collision and to gai...
Probabilistic neural network (PNN) is applied to the classification of ship noises for its simplicit...
Paper presents the results of the structure of the hydroacoustics field of different classes ’ vesse...
In this paper, a nonlinear dynamic neural network model is proposed for the identification of ship m...
The article presents the results of the next stage in the authors' investigation aimed to create a m...
The paper presents method used to creating patterns for hydroacoustics signals for necessity of soun...
An audio processing and classification pipeline is presented in this work. The main focus is on the ...
The paper presents the experimental research associated with the spatial distribution of acoustic en...
When a boat moves in water, it creates a sound with unique features which makes it possible to ident...
Abstract. Kernel-based algorithms such as support vector machines (SVMs) are state-of-the-art in mac...
The subject of the examinations carried out is hydroacoustic noise in coastal zones. Under these con...
In recent years, the growth of marine traffic in ports and their surroundings raise the traffic and ...
The paper presents the method of neural network used as classifier of hydroacoustic signals made by ...
The paper presents the technique of artificial neural networks used as classifier of hydroacoustic s...
The detection, classification, identification and recognition ships noise features have been of the ...
A submarine navigator have to keep track of surrounding ships in order to avoid collision and to gai...
Probabilistic neural network (PNN) is applied to the classification of ship noises for its simplicit...
Paper presents the results of the structure of the hydroacoustics field of different classes ’ vesse...
In this paper, a nonlinear dynamic neural network model is proposed for the identification of ship m...
The article presents the results of the next stage in the authors' investigation aimed to create a m...
The paper presents method used to creating patterns for hydroacoustics signals for necessity of soun...
An audio processing and classification pipeline is presented in this work. The main focus is on the ...
The paper presents the experimental research associated with the spatial distribution of acoustic en...
When a boat moves in water, it creates a sound with unique features which makes it possible to ident...
Abstract. Kernel-based algorithms such as support vector machines (SVMs) are state-of-the-art in mac...
The subject of the examinations carried out is hydroacoustic noise in coastal zones. Under these con...
In recent years, the growth of marine traffic in ports and their surroundings raise the traffic and ...