ChanCCIR5202

A neuro-fuzzy method to learn fuzzy classification rules from data.

template for a technical paper

该工具箱包括了混沌时间序列分析与预测的常用方法,有: 产生混沌时间序列(chaotic time series) Logistic映射 - ChaosAttractorsMain_Logistic.m Henon映射 - ChaosAttractorsMain_Henon.m Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m Duffing吸引子 - ChaosAttractorsMain_Duffing.m Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m Rossler吸引子 - ChaosAttractorsMain_Rossler.m Chens吸引子 - ChaosAttractorsMain_Chens.m (The kit includes a chaotic time series analysis and prediction of commonly used methods are: generate chaotic time series (chaotic time series) Logistic map- ChaosAttractors Main_Logistic.m Henon map- ChaosAttractors Main_Henon.m Lorenz attractor- ChaosAttractors Main_Lorenz.m Duffing attractor- ChaosAttractors Main_Duffing.m Duffing2 attractor- ChaosAttractors Main_Duffing2.m Rossler attractor- ChaosAttractors Main_Rossler.m Chens attractor- ChaosAttractors Main_Chens.m)

后拉马克memetic算法，将几种适应性memetic进行性能比较(Houlamake memetic algorithm, the performance comparison of several adaptive memetic)

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background

实现自适应滤波器的功能 并经过改进和优化(Implement an adaptive echo cancellation algorithm in C and download it to the TMS320C6713 DSP Starter Kit)

image retrieval,content based image retrieval

说明：  本程序利用matlab平台中的svm方法对数据进行分类，其中有寻优算法(This program uses the SVM method in Matlab platform to classify the data, which has the optimization algorithm)

SIAM s Advances in Design and Control series consists of texts and monographs dealing with all areas of design and control and their applications. Topics of interest include shape optimization, multidisciplinary design, trajectory optimization, feedback, and optimal control. The series focuses on the mathematical and computational aspects of engineering design and control that are usable in a wide variety of scientific and engineering disciplines.

linear acceleration