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Tutorial-Algorithmsfor2-DObjectRecognition
- Tutorial: Algorithms for 2-Dimensional Object Recognition. Representation of arbitrary shape for purposes of visual recognition is an unsolved problem. The task of representation is intimately constrained by the recognition process and one cannot b
Artificial.Neural.Networks.in.Real.life.Applicati
- This book presents recent advances in the study of biological neurons and also shows how these advances can be used for developing new computational models of ANNs.
Nikola-K.-Kasabov---Foundations-of-Neural-Network
- Nikola K. Kasabov - Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
01271048
- This paper presents neural networks based approach for estimation of the control and operating parameters of Statcom used for improving voltage profile in a power system, which is emerging as a major problem in the day-to-day operation of stresse
jou_v78
- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Own five modulation signal, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
3836
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The received signal is given eye and BER simulation systems, Principal component analysis of multivariate data analysis projection.
qpsau
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Verification is available, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
4673
- Application of small area variance comparison, simple procedures, Energy spectrum analysis and calculation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
enyvf
- High simulation efficiency, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
rpxch
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Channel coding, modulation, channel estimation, Dual-line interpolation FFT harmonic analysis kaiser windows.
jou_gx83
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Can realize the two-dimensional data clustering, wolf calculated Lyapunov exponent.
laiquiyui
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Using matlab to calculate the Mahalanobis distance for the image.
ge256
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, STM32 all the information produced by the MP3, High simulation efficiency.