Genetic algorithm back propagation
WebJul 13, 2024 · For the purpose of optimizing the weighting factors in cost functions of MPC, this article proposes an artificial neural network (ANN) based method, which applies genetic algorithm as the back propagation algorithm. Since this method is trained offline, it does not increase any computation complexity of MPC. WebJul 1, 2024 · Aiming at the limitations of back propagation neural network (BPNN), a genetic algorithm (GA)-optimized BPNN algorithm is proposed. Then, the optimized algorithm is applied to predict the deformation and displacement of foundation pits from three aspects, i.e., simple horizontal displacement, simple longitudinal displacement, and …
Genetic algorithm back propagation
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WebAug 28, 2024 · Then, the Genetic Algorithm assisted Back Propagation Neural Network (GA-BPNN) is used to train the surrogate model for the design and off-design loss … WebApr 29, 2024 · This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN model in nonlinear issues. Traffic flow prediction is undertaken as a research case to analyse the performance of the optimized BPNN. Firstly, the advantages and …
WebJan 21, 2014 · This work introduces genetic algorithms and describes their characteristics. Then a novel method using genetic algorithm in best training set generation and …
WebTo date, there is still no application of optimization algorithms and general regression neural networks in predicting disinfection by-products levels. This study was to explore … WebFeb 18, 2011 · A back-propagation (BP) neural network has good self-learning, self-adapting and generalization ability, but it may easily get stuck in a local minimum, and has a poor rate of convergence. Therefore, a method to optimize a BP algorithm based on a genetic algorithm (GA) is proposed to speed the training of BP, and to overcome BP’s …
WebApr 17, 2024 · Therefore, this paper proposes a new method to predict the build-up rate based on back-propagation (BP) neural network optimized by genetic algorithm. …
WebFeb 2, 2024 · The back propagation neural network (BPNN) was employed as an initial ML model, and it was further optimized by genetic algorithm (GA) to improve its prediction precision. Then, both the BPNN and GA-BPNN models were applied to predict the fuel properties of torrefied biomass, including the ratios of FR, O/C and H/C, HHV, the MY … image first livonia miWebThen based on the obtained bioactive component groups, the genetic algorithm, back propagation neural network, was combined with near-infrared spectroscopy to establish … imagefirst libraryWebApr 1, 2011 · Network structure containing different hidden layers (1–2–1; 1–3–1; 1–5–1; 1–7–1 and 1–10–1) are used when multi-layer structure was trained with … image first log inWebApr 8, 2024 · Iso-GA hybrids the manifold learning algorithm, Isomap, in the genetic algorithm (GA) to account for the latent nonlinear structure of the gene expression in the microarray data. The Davies–Bouldin index is adopted to evaluate the candidate solutions in Isomap and to avoid the classifier dependency problem. Additionally, a probability-based ... image first ltdWebJul 31, 2011 · In this paper, genetic algorithm based back propagation neural network (GABPNN) has been proposed for voltage stability margin estimation which is an indication of the power system's proximity to voltage collapse. The proposed approach utilizes a hybrid algorithm that integrates genetic algorithm and the back propagation neural network. image first king of prussia paWebPlate recognizer system is an important system. It can be used for automatic parking gate or automatic ticketing system. The purpose of this study is to determine the effectiveness of Genetic Algorithms (GA) in optimizing the number of hidden neurons, learning rate and momentum rate on Backpropagation Neural Network (BPNN) that is applied to the … image first noelWebJan 21, 2014 · This work introduces genetic algorithms and describes their characteristics. Then a novel method using genetic algorithm in best training set generation and selection for a back-propagation ... image first of nevada llc