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An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid of genetic algorithm (GA) and particle swarm optimization (PSO), and is thus called HGAPSO.... | [
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Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to operate an electric power system most economically while the system is operating wit... | [
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It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And... | [
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In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer. | [
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This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using dynamic fuzzy rules. Temporal relations are embedded in the network by adding feedbac... | [
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Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.125 x 3.125 x 4.0 mm) and high resolution (1.4 x 1.4 x 2.0 mm... | [
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"The energy usage of computer systems is becoming more important, especially for battery operated sy(...TRUNCATED) | [0.004153713583946228,-0.009454258717596531,-0.019238876178860664,-0.003186863614246249,-0.020441226(...TRUNCATED) | [0.15472473204135895,0.12008606642484665,0.46950140595436096,0.35108768939971924,0.2764529287815094,(...TRUNCATED) |
"Mobility prediction is one of the most essential issues that need to be explored for mobility manag(...TRUNCATED) | [0.004518084228038788,0.012428462505340576,-0.009656792506575584,0.005973345600068569,-0.01339775323(...TRUNCATED) | [-0.3911256492137909,-0.09707533568143845,0.6516078114509583,0.15970414876937866,0.3145405054092407,(...TRUNCATED) |
"We study the problem of structural graph clustering, a fundamental problem in managing and analyzin(...TRUNCATED) | [-0.0059781973250210285,0.0033908230252563953,0.0014079756801947951,0.030595410615205765,0.004691750(...TRUNCATED) | [0.12792010605335236,0.07432804256677628,0.1277511715888977,0.13806194067001343,0.12481112033128738,(...TRUNCATED) |
"Iron, the most ubiquitous of the transition metals and the fourth most plentiful element in the Ear(...TRUNCATED) | [0.009186318144202232,0.009593639522790909,-0.02322360686957836,-0.0004500574432313442,0.00945063959(...TRUNCATED) | [0.36481043696403503,0.4892715811729431,-0.1326461136341095,0.1892918050289154,0.1585727035999298,0.(...TRUNCATED) |
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