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In the recent past, it has been seen that the synergism of evolutionary, fuzzy and neural network is gaining popularity over individual techniques due to its combined computational efficiency. In this paper, we have investigated the feasibility of synergism between evolutionary fuzzy clustering using three different validity criteria and neural networks. We have also reported the effect of various...
In this paper, we present a novel evolutionary fuzzy clustering approach with Minkowski distances. Fuzzy clustering plays an important role for various kinds of classification problems. Evolutionary algorithm is used for searching the best partitioning among the populations generated by different runs of the fuzzy clustering algorithm. Evolutionary fuzzy clustering performs better as compared to the...
The chapter is structured into the following main parts. After a short introduction which addresses the term materials as it is used in mechanical engineering and sorts out other matters for the sake of space, the first main section, Sect. 3.1, describes the fundamentals of atomic structure and microstructure of materials (as defined in the introduction). The following Sects. 3.3, 3.4, 3.5, 3.6 deal...
This paper contains designing of energy efficient memory circuit using two different IO standard i.e. LVTTL and Mobile-DDR on 28nm (Artix-7) Field Programmable Gate Array. We are using Xilinx ISE simulator version 14.2, Verilog hardware description language and Artix-7 FPGA. The design has been tested at different operating frequencies of Latest Intel processor that are at Intel I-3, Intel I-5 and...
This paper is devoted largely for building a novel approach for human recognition using eye movement analysis. Velocity and dispersion threshold based fixation identification algorithms are employed for processing the raw scan path signals in oculo-motion matrices. A new hybrid intelligent model is deployed for classification over data retrieved from scan-path signals. Experimental results demonstrate...
In self-organizing networks, nodes are expected to perform services (such as forwarding packets) for one another. The design of incentive mechanisms that lead nodes to cooperate towards a network-wide goal is crucial for the deployment of such networks in commercial environments. In this paper we employ game theory to analyze a behavior-based incentive scheme for node cooperation in packet forwarding...
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