Reverse engineering of gene regulatory networks (GRNs) is the process of estimating genetic interactions of a cellular system from gene expression data. In this paper, we propose a novel hybrid systematic algorithm based on neurofuzzy network for reconstructing GRNs from observational gene expression data when only a medium-small number of measurements are available. The approach uses fuzzy log...

In this paper, two CI techniques, namely, single multiplicative neuron (SMN) model and adaptive neurofuzzy inference system (ANFIS), have been proposed for time series prediction. A variation of particle swarm optimization (PSO) with co-operative sub-swarms, called COPSO, has been used for estimation of SMN model parameters leading to COPSO-SMN. The prediction effectiveness of COPSO-SMN and ANF...

In the field of diabetic retinopathies attention has been recently focused on the problem of obtaining an accurate diabetic ocular diagnosis. In this paper a contribution in the detection of diabetic symptoms using contrast enhancement of fundus images is proposed by synthesizing an “ad hoc” neurofuzzy system. A fuzzy technique is considered to develop a suitable coding of fuzzy rules. A sparse...

The aim of this work is to study the applications of soft computing technique on the machinability of bagasse fiber-reinforced vinyl ester composites. The prediction accuracy of regression, artificial neural networks, and neuro-fuzzy methods on the response variables during machining of bagasse fiber-reinforced vinyl ester composite sheets.. In experimental part, a total of 27 experiments was c...

In the past few years, an evolution in the wireless communication has been emerged, along with the evolution a new type of large potential application of wireless network appears, which is the Mobile Ad-Hoc Network (MANET). Black hole attack considers one of the most affected kind on MANET. Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In...

In this paper, we discuss the use of the expert system shell FuzzyCLIPS to define the network model in the Distribution Management System (DMS) for the Indonesian State Power system (PLN). Although, the DMS is implemented by a mixed FuzzyCLIPS/C++ system, the rules defining the behavior of the system are developed using the framework of Object-Oriented Term-Rewriting (OOTR) to guarantee the asy...

To accurately estimate the state of charge of a lithium-ion battery pack used in electric vehicles, a neurofuzzy system is proposed. The subtractive clustering is used to determine the structure and the initial parameters of the neuro-fuzzy system to reduce heuristic errors. The algorithm of adaptive neuro-fuzzy inference (ANFIS) is adopted to optimize the parameters of the neuro-fuzzy system. ...

Increasing renewable energy targets globally has raised the requirement for efficient and profitable operation of solar photovoltaic (PV) systems. In light this requirement, paper provides a path evaluating operating condition improving power output PV system in grid integrated environment. To achieve this, different types faults grid-connected systems (GCPVs) their impact on loss associated wi...