Praczyk Tomasz

Praczyk Tomasz

TOMASZ PRACZYK is a senior lecturer at the Institute of Naval Weapon of Polish Naval Academy in Gdynia. He received his MSc degree in computer science in 1996. In 2001, he received his PhD degree; with thesis focused on using artificial neural networks to identify ships. His research interest is in neuro-evolution, artificial immune systems, and reinforcement learning.

AUTHOR ARTICLE:

Using Genetic Algorithms for Optimizing Algorithmic Control System of Biomimetic Underwater Vehicle
Assembler Encoding with Evolvable Operations
Better Kohonen Neural Network in Radar Images Compression
Application of Neural Networks and Radar Navigational Aids of Shore Area to Positioning
Probalistic Neural Network Application to Warship Radio Station Identification
Modular Neural Networks in Assembler Encoding
Assembler Encoding Versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State
Diverse Neural Architectures in Assembler Encoding
Modularity and Regularity in Neural Networks Produced with Assembler Encoding
Assembler Encoding Improved

Praczyk Tomasz

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