Various Types of Soft Computing Techniques and Application of Soft Computing

Various types of soft computing techniques: 
Soft computing consist several computing paradigms  mainly are :

• Neural Network
• Fuzzy Logic
• Genetic Algorithm    

Application of Soft Computing:

• A Fusion Approach of Multi spectral Images with SAR (Synthetic Aperture Radar).
• Optimization of traveling Salesman Problem using Genetic Algorithm Approach.
• Genetic algorithm base Internet search technique.
• Hybrid fuzzy Controllers based on Soft Computing.
• Rocket Engine control based on Soft Computing.
• Architectural design and development of new approaches combining fuzzy logic, neural networks, evolutionary computation, and other recent computational intelligence methods in the SC paradigm.
• Comparative theoretical and empirical studies on SC techniques, with validation through convincing computational experiments, performance measures, and convergence proof.
• Application of SC techniques (e.g., big data, smart systems, semantic web, sustainable development, cloud computing, dynamic processes, and other domains in science and engineering)