ICO 2018 - Convulsion Neural Networks as A Tool For Early Warning System Development

Innovative optimization approaches have attracted many research scientists, decision makers, managers, executives, engineers, academicians, officers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems.
The International Conference on Intelligent Computing and Optimization (ICO2018) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics, Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.
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Highlights
All accepted papers will be published by Springer and made available through Springer-Link Digital Library, one of the world's largest scientific libraries.
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Conference Topics
Intelligent Computing and Applications:
Artificial intelligence, Quantum computing, Artificial Neural Networks, Self-Organizing, Fuzzy logic, Membrane computing, Evolutionary computation, Learning theory, Probabilistic methods, Image processing Computer vision, Speech recognition, Big data, Evolutionary algorithm, Randomness Monte Carlo methods, Algorithmic probability, chaos theory, Cryptography, Game Theory, Information theory, Pattern recognition, Natural computing, Evolutionary robotics Knowledge-based system, Machine learning, Unsupervised learning, Computational finance, Computational economics, and DNA computing.
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Optimization and Applications:
Ant colony optimization, Artificial bee colony, Artificial immune systems, Artificial neural networks, Automatic computing, Bacterial foraging, Biological computing, Chaos optimization, Cloud Computing, Combinatorial Optimization, Computational intelligence, continuous optimization, Cultural algorithms, Differential evolution, Direct Search, Evolutionary computing, Fuzzy optimization, Genetic algorithms, Granular computing, Hybrid algorithms, Local and global search, Memetic algorithms, Meta-heuristic methods, Particle swarm optimization, Pattern search, Simulated annealing, Simulation and modelling, Soft Computing techniques, Support vector machines, Swarm intelligence, Tabu search, and Variable neighborhood search.