International Journal of Soft Computing 

About: International Journal of Soft Computing is an academic journal. The journal publishes majorly in the area(s): Fuzzy logic & Artificial neural network. It has an ISSN identifier of 1816-9503. It is also open access. Over the lifetime, 208 publications have been published receiving 1925 citations.

Application of Genetic Algorithm Optimized Neural Network Connection Weights for Medical Diagnosis of PIMA Indians Diabetes

Abstract: Neural Networks are one of many data mining analytical tools that can be utilized to make predictions for medical data. Model selection for a neural network entails various factors such as selection of the optimal number of hidden nodes, selection of the relevant input variables and selection of optimal connection weights. This paper presents the application of hybrid model that integrates Genetic Algorithm and Back Propatation network(BPN) where GA is used to initialize and optmize the connection weights of BPN . Significant feactures identified by using two methods :Decision tree and GA-CFS method are used as input to the hybrid model to diagonise diabetes mellitus. The results prove that, GA-optimized BPN approach has outperformed the BPN approach without GA optimization. In addition the hybrid GA-BPN with relevant inputs lead to further improvised categorization accuracy compared to results produced by GA-BPN alone with some redundant inputs.

Global chaos synchronization of hyperchaotic pang and hyperchaotic wang systems via adaptive control

Abstract: This paper investigates the global chaos synchronization of identical hyperchaotic Wang systems, identical hyperchaotic Pang systems, and non-identical hyperchaotic Wang and hyperchaotic Pang systems via adaptive control method. Hyperchaotic Pang system (Pang and Liu, 2011) and hyperchaotic Wang system (Wang and Liu, 2006) are recently discovered hyperchaotic systems. Adaptive control method is deployed in this paper for the general case when the system parameters are unknown. Sufficient conditions for global chaos synchronization of identical hyperchaotic Pang systems, identical hyperchaotic Wang systems and non-identical hyperchaotic Pang and Wang systems are derived via adaptive control theory and Lyapunov stability theory. Since the Lyapunov exponents are not required for these calculations, the adaptive control method is very convenient for the global chaos synchronization of the hyperchaotic systems discussed in this paper. Numerical simulations are presented to validate and demonstrate the effectiveness of the proposed synchronization schemes.