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We study the scaling law of lifetime of ordinary clustering time-hopping impulse radio ultra-wideband (TH-IR UWB) sensor networks which n sensor nodes are distributed according to a Poisson point process. In this paper, we study the random network of a general node density λ λ∈[1,n], rather than only study either random dense network (λ=n) or random extended network (λ=1). The results demonstrate...
In order to improve success rate of new product development, an intelligent decision support system based on multi-agent for new product development is presented. The dialogue layer, problem decomposition layer, control layer and problem solving layer in the decision process are studied; corresponding decision support apply modules are built based on the design idea of decision support system with...
In this paper, an adaptive controller is developed for uncertain nonlinear systems in the presence of input saturation. The control design is achieved by using backstepping technique with neural network approximation. Unlike some existing control schemes for systems with input saturation, the developed controller does not require uncertain parameters within a known compact set. Besides showing stability,...
This paper proposed a self-learning, self-adapting algorithm (ANN-GA-Cascades) for extracting fuzzy rules, which is based on fusion of soft computing. We could use it to attain the fuzzy rules of oiliness in oil exploration: firstly, supervised learning of training sample is performed by using neural networks, with the inputs being the simplest well-logging attribute set which is relevant to the oiliness...
To assure justice and science of scientific and technological project evaluation, avoiding the corrupt transaction in the process of project evaluation, it is necessary to evaluation the experts' performance with a scientific method. The main factors that affect the experts' performance evaluation were analyzed. To avoid the effect of individual subjective judgment and favoritism on the result of...
A method which combines analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE) for the partner evaluation of the agile supply chain is purposed to avoid the influences of human being’s subjective judgments, preferences in the AHP on it. The weight of each evaluation index of the partners is confirmed, the partner evaluation information are processed by the FCE , the mathematical...
After the modification of the fuzzy ART neural network operations. An algorithm based on fuzzy ART neural network which can deal with online-learning and recognition of the known and unknown faces at the same time is designed and realized. The simulation experiment results show an online maximum recognition rate is 86.3% and offline recognition rates are nearly 100% when the proper network parameters...
An accurate friction model is necessary for friction compensation in radar servo systems or industrial robots. In order to obtain an accurate friction model, a method of friction modelling is proposed, based on support vector regression machines (SVRM) and real genetic algorithms (RGA). Three optimization problem formulations are proposed to realize the automatic optimal parameter selection of SVMR...
This paper presents a robust fault detection (FD) scheme for detecting and approximating state faults occurring in a class of nonlinear dynamical systems. In the presence of a failure, the values exported by the on-line approximator (OLA), are used as an estimate of the real nonlinear fault function. The general inspiration for constructing OLA model in FD is based on the radial basis function (RBF)...
A novel heart sound (HS) recognition system based Full Bayesian Neural Network Model (FBNNM) is presented. Features are extracted from Power Spectrum Distribution (PSD), the normalized average Shannon energy (NASN) in wavelet domain; and the Correlation-Dimension (CD) is also employed from the view of dynamic system. These features were used as inputs to the FBNNM for HS recognition. A total of 64...
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