Research on Grain Yield Prediction Method Based on Improved PSO-BP

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Endpoint Prediction of BOF Steelmaking based on BP Neural Network Combined with Improved PSO

This paper concerns the endpoint estimation of the basic oxygen furnace (BOF) steel making process. More specifically, a back propagation (BP) neural network is employed to estimate the endpoint carbon content and the endpoint temperature of BOF, and an improved particle swarm optimization (PSO) algorithm is proposed to optimize the prediction model for improving the accuracy of the endpoint pr...

متن کامل

Regional GDP Prediction Based on Improved BP Neural Network Model

In this paper, an improved BP neural network model is proposed. In the model, the momentum factor can improve the training speed and avoid falling into local minimum. Steepness factor and adaptive learning rate can improve the convergence speed. The genetic algorithm is used to solve the problem of low training speed, low accuracy of prediction and easy to fall into local minimum of BP neural n...

متن کامل

Research on the Fabric Defect Detection Method based on Improved PSO and NN Algorithm

This paper can reasonably identify the connection weight and threshold of NN and improve capability of true problem solution. This paper also applies PSO-BP NN model into classification of fabric flaws, decomposes the fabric image at single layer and extract the sub-image in horizontal and vertical direction to represent longitudinal and latitudinal texture by using orthogonal wavelet transform...

متن کامل

Research of Rolling Shear Motion Laws Based On Improved PSO

Making pure rolling shear as the target, based on the principles analysis of shear mechanism in the rolling shear, trajectories of the overlap and the horizontal displacement of the upper blade during the cutting process are directly calculated out. And then the trajectories are optimized with improved natural selection-based particle swarm optimization algorithm (selPSO) deemed lengths of the ...

متن کامل

An Improved Hybrid Algorithm Based on PSO and BP for Feedforward Neural Networks

In this paper, an improved hybrid algorithm combining particle swarm optimization (PSO) with backpropagation algorithm (BP) is proposed to train feedforward neural networks (FNN). PSO is a global search algorithm, but the swarm in PSO is easy to lose its diversity, which results in premature convergence. On the other hand, BP algorithm is a gradient-descent-based method which has good local sea...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Applied Sciences

سال: 2014

ISSN: 1812-5654

DOI: 10.3923/jas.2014.1990.1995