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The paper presents a new Artificial Neural Network (ANN) encoding method called Assembler Encoding (AE). It assumes that the ANN is encoded in the form of a program (Assembler Encoding Program, AEP) of a linear organization and of a structure similar to the structure of a simple assembler program. The task of the AEP is to create a Connectivity Matrix (CM)(More)
Assembler Encoding represents a neural network in the form of a simple program called Assembler Encoding Program. The task of the program is to create the so-called Network Definition Matrix, which maintains all the information necessary to construct a network. To generate the programs and, in consequence, neural networks, evolutionary techniques are used.(More)
The paper presents conception of research whose the main goal is to build an anti-collision system of Unmanned Surface Vehicle USV. To build the system, neural-evolutionary-fuzzy algorithm is proposed. In the introduction, Unmanned Surface Vehicle USV called edredon is presented. In the next section, the main idea of the system is described. Then, a way of(More)
Chlamydiosis has been described in both free-ranging and captive reptiles. The infection usually manifests as granulomatous inflammation in inner organs such as spleen, heart, lung and liver butmight also occur in asymptomatic reptiles. The aim of this study was to investigate and characterise Chlamydia pneumoniae and potential other novel chlamydial(More)
In recent years increasing interest in autonomous underwater vehicles (AUV) has been observed. AUVs can be applied to a wide range of tasks, for example, to inspect various underwater objects. Many applications require cooperation between AUVs. In order for AUVs to cooperate, the system coordinating movements of individual AUVs has to be designed. To obtain(More)