MEA-BP neural network algorithm flowchart. حسب Dongling Ma (1269888)

الموضوعات:

The block diagram of the ASO algorithm implementation for inverse modeling. حسب Ahmad Al-Talabi (21387479)

NAR dynamic neural network model. حسب Zhanni Huang (20577481)

"…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …"

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks حسب Zhihuang Yang (22530437)

"…By leveraging group <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math>-norm constrained neural networks, the proposed approach aims to simultaneously extract crucial features and estimate the underlying model function with statistically guaranteed accuracy. …"

Licking behaviors and neural firings of the model. حسب Huu Hoang (9188747)

الموضوعات: "…supervised learning algorithms…"

The diagram of the LSTM neural network. حسب Mohd Sakib (20565228)

Neural Network Structure Parameters. حسب Yu Jie Guang (22184340)

الموضوعات:

Flowchart of GA-PSO-BP neural network model. حسب Jining Wang (3369305)

"…To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network. …"

RF Algorithm error rate of the model. حسب Halit Tutar (20678455)

"…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …"

Model surface plots in MARS algorithm. حسب Halit Tutar (20678455)

"…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …"

The complete structure of Kalman filter algorithm. حسب Junaid Khan (4276162)

الموضوعات:

Performance analysis of the proposed model with existing algorithms. حسب Quxi Kuang (22493270)

الموضوعات:

K-shortest path algorithm, finding count, and OD algorithm. حسب Jin Ki Eom (21192426)

Performance metrics of the Deep Neural Network (DNN) model on training data. حسب Saim Chishti (22272188)

الموضوعات:

Performance metrics of the Recurrent Neural Network (RNN) model on training data. حسب Saim Chishti (22272188)

الموضوعات:

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

الموضوعات:

Recall results of four algorithms. حسب Nan Xu (107466)

الموضوعات:

The structure of genetic algorithm (GA). حسب Ali Akbar Moosavi (17769033)

"…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

Flowchart of integrating multilayer perceptron neural network (MLPNN) with genetic algorithm (GA) to optimize MLPNN architecture. حسب Mohammad Reza Najafi (9288989)

Algorithm performance comparison. حسب Haiyan Wang (25821)