AI-NN-PR List Page 1325

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MyOMP Downloaded：0: A simple algorithm using orthogonal matching pursuit (OMP) of the program, and Signal Recovery From Random Measurments Via Orthogonal Matching Pursuit OMP algorithm described in the same, can make the first contact with
Date : 2025-08-16 Size : 1kb User : 何静飞
solution1 Downloaded：0: how to clean data using matlab
Date : 2025-08-16 Size : 2kb User : chashugu
Ant-colony-algorithm- Downloaded：0: This document describes the use of ant colony algorithm to find the shortest path method, and the corresponding graphical representation of the search line
Date : 2025-08-16 Size : 89kb User : 加俊
data_train Downloaded：0: Bp to write a program we hope will be helpful Thank landlord
Date : 2025-08-16 Size : 1kb User : 秦双勇
BPtimeserierforcasting Downloaded：0: A time series prediction on bp hope useful ppt
Date : 2025-08-16 Size : 132kb User : 秦双勇
fuzzy-set Downloaded：0: Introduce to Fuzzy Logic using matlab.
Date : 2025-08-16 Size : 8.81mb User : louis
1012000 Downloaded：0: This article describes the structure of the inverted pendulum theory, and neural network programming using inverted pendulum control
Date : 2025-08-16 Size : 138kb User : 顾海勤
Bp-recognition-program Downloaded：0: A BP neural network matlab program
Date : 2025-08-16 Size : 1kb User : zhang
Multi-step-prediction-of-chaotic Downloaded：0: This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of
Date : 2025-08-16 Size : 149kb User :
A-hybrid-least-squares Downloaded：0: This paper proposes a novel hybrid forecasting model, which combines the group method of data handling (GMDH) and the least squares support vector machine (LSSVM), known as GLSSVM. The GMDH is used to determine the usefu
Date : 2025-08-16 Size : 1.4mb User :
Adaptive-Embedding-Dimension Downloaded：0: T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive e
Date : 2025-08-16 Size : 334kb User :
Xinying_Ph.D.thesis Downloaded：0: This research attempts to demonstrate the promising applications of a relatively new machine learning tool, support vector machine, on chaotic hydrological time series forecasting. The ability to achieve high prediction
Date : 2025-08-16 Size : 1.48mb User :

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