NCSCA-2019: Two Day National Conference on Soft Computing and its Applications Rajahmundry, India, December 20-21, 2019 |
Submission link | https://easychair.org/conferences/?conf=ncsca2019 |
Poster | download |
Abstract registration deadline | November 30, 2019 |
Submission deadline | December 10, 2019 |
Soft Computing and its Applications
PREFACE
Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. The approach enables solutions for problems that may be either unsolvable or just too time-consuming to solve with current hardware. Soft computing is sometimes referred to as computational intelligence.
Soft computing is based on natural as well as artificial ideas. Soft Computing techniques are Fuzzy Logic, Neural Network, Support Vector Machines, Evolutionary Computation and Machine Learning and Probabilistic Reasoning.
Soft computing provides an approach to problem-solving using means other than computers. With the human mind as a role model, soft computing is tolerant of partial truths, uncertainty, imprecision and approximation, unlike traditional computing models. The tolerance of soft computing allows researchers to approach some problems that traditional computing can't process.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Soft computing uses component fields of study in:
- Fuzzy logic
- Machine learning
- Probabilistic reasoning
- Evolutionary computation
- Perceptron
- Genetic algorithms
- Differential algorithms, Topology
- Support vector machines
- Meta heuristics
- Swarm intelligence
- Ant colony optimization
- Particle optimization
- Bayesian networks
- Artificial neural networks
- Expert systems
- Rough sets
- Simulated annealing
- DNA computing
- Quantum computing
- Membrane computing etc.
While some of these techniques are still in the emerging stage, the rest of them have found wide spread use in the area of Pattern recognition, Classification, Image processing, Voice recognition, Data mining etc. Each of these methodologies has their own strength. The seamless integration of these methodologies to create intelligent systems forms the core of soft computing
As a field of mathematical and computer study, soft computing has been around since the 1990s. The inspiration was the human mind's ability to form real-world solutions to problems through approximation. Soft computing contrasts with possibility, an approach that is used when there is not enough information available to solve a problem. In contrast, soft computing is used where the problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations.
Publication
NCSCA-2019 proceedings will be published in Conference Proceedings and Out standing research papers will be published in UGC Referred Peer Reviewed Journal after peer review by taking declaration from the author as it is original research done by him/her.
Contact
For more details visit www.gcrjy.ac.in