Security term in mobile ad hoc networks has several aspects because of the special specification of these networks. In this paper a distributed architecture was proposed in which each node performed intrusion detection based on its own and its neighbors’ data. Fuzzy-neural interface was used that is the composition of learning ability of neural network and fuzzy Ratiocination of fuzzy system as...

In this paper, a fuzzy adaptive neural-network model-following speed controller for permanent-magnet synchronous motor (PMSM) drives is proposed. The fuzzy neuralnetwork model-following controller (FNNMFC) consist of a proportional plus integral (PI) like-fuzzy controller in addition to an on-line trained neural-network model-following controller (NNMFC). This controller, FNNMFC, combines the m...

This thesis deals with the application of neural network and fuzzy logic based techniques for designing algorithm to recognize handwritten Bengali character. Fuzzy measures are related to methods of robust statistics, namely linear combinations of order statistics, which are used for combining information that may contain outliers, a common situation in handwriting recognition. Here first Chara...

Physico–mechanical properties of rocks have great significance in all operational parts in mining activities, from exploration to final dispatch of material. Compressional wave velocity (p-wave velocity) and anisotropic behaviour of rocks are two such properties which help to understand the rock response under varying stress conditions. They also influence the breakage mechanism of rock. There ...

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One of the greatest challenges for software developers is forecasting the development effort for a software system for the last decades. The capability to provide a good estimation on software development efforts is necessitated by the project managers. Software effort estimation model divided into two main categories: algorithmic and nonalgorithmic. These models too have difficulty in modeling...

The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

Scope: Topics of interest include, but are not limited to: Neural Networks and Connectionist Models Evolutionary Algorithms Fuzzy Logic Knowledge Management Multi-valued Logic Semantic Networks Rough Sets Intelligent Agents Ontologies Reinforcement Learning Complex Network Computational Intelligence Data integration across multiple social networks Honorary Chairs Yongyi, Guo, Taiyuan University...

The computational intelligent technique is frequently used by different authors to design the control part of active vibration control system to minimize the vibration of different structures. The purpose of this review paper is to collect different research papers on vibration control method using modern computation intelligent techniques such as Fuzzy logic technique and neural network techni...