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Cat Swarm Optimization Algorithm | CSO Algorithm |  Cat Swarm Optimization Algorithm  Video Chapters: CSO Introduction: 00:00 Cat Swarm Optimization Sub-Models 02:03 CSO Seeking Mode: 03:26 CSO Tracing Mode: 05:19 Cat Swarm Optimization flow chart: 06:56 Cat Swarm Optimization Steps: 08:25 Cat's: 10:48 Cat Swarm Optimization Algorithm is an Metaheuristic Optimization Algorithm. It comes in the category of Nature Inspired Swarm Based Optimization Algorithm. As we all know Nature Inspired Swarm Based Optimization Algorithms are Stochastic methods designed to solve different optimization problem's. Cat Swarm Optimization Algorithm is inspired by behavior of cats in real life. Cat Swarm Optimization Algorithm is invested in 2006 by Shu Chuan Chu. Author tested Cat Swarm Optimization Algorithm using 23 Classical benchmark functions and 10 modern benchmark function.  Two sub-models are used in Cat Swarm Optimization Algorithm to describe cat's behavior. They are modeled on Cats b

  Neuro-fuzzy hybrid system tutorial |Soft Computing| Neuro-Fuzzy Hybrid System (NFHS) - Soft Computing (Neural Network) An introduction to the Neuro-Fuzzy System. In the field of artificial intelligence, neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic. Neuro-Fuzzy Hybrid System is a combination of Neural Network and Fuzzy Logic. Neuro-fuzzy hybridization results in a hybrid intelligent system that synergizes these two techniques by combining the human-like reasoning style of fuzzy systems with the learning and connectionist structure of neural networks. Neuro-fuzzy hybridization is widely termed as the fuzzy neural network (FNN) or neuro-fuzzy system (NFS) in the literature. Neuro-fuzzy system (the more popular term is used henceforth) incorporates the human-like reasoning style of fuzzy systems through the use of fuzzy sets and a linguistic model consisting of a set of IF-THEN fuzzy rules. The main strength of neuro-fuzzy systems is that they are uni