| Description |
xii, 204 leaves : illustrations ; 28 cm. |
| Summary |
"Computational Intelligence (CI) aims to provide solutions to real-life problems using mathematical models which mimic artificial intelligence. Many CI paradigms, like Neural Networks and Evolutionary Computation, offer advantages in a variety of applications in digital signal processing. In this thesis, several CI techniques, namely Neural Networks, Particle Swarm Optimization (PSO), Differential Evolution (DE) and Adaptive Critic Designs (ACDs), are applied to scalar and vector quantization problems"--Abstract, leaf iii. |
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