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Found 10 papers, 0 papers with code
Newly Developed Flexible Grid Trading Model Combined ANN and SSO algorithm
Thus, a new flexible grid trading model combined with the Simplified Swarm Optimization (SSO) algorithm for optimizing parameters for various market situations as input values and the fully connected neural network (FNN) and Long Short-Term Memory (LSTM) model for training a quantitative trading model to automatically calculate and adjust the optimal trading parameters for trading after inputting the existing market situation is developed and studied in this work.
Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems
Reliability is an important tool for evaluating the performance of modern networks.
PAM: Pose Attention Module for Pose-Invariant Face Recognition
It is noteworthy that our method is not limited to face recognition with large pose variations.
A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem
Since GRRAP is an NP-hard problem, a new algorithm called Binary-addition simplified swarm optimization (BSSO) is also proposed in this study.
Implementation of Parallel Simplified Swarm Optimization in CUDA
As the experiment results showed, the time complexity has successfully reduced by an order of magnitude of N, and the problem of resource preemption was avoided entirely.
Novel General Active Reliability Redundancy Allocation Problems and Algorithm
To solve the proposed novel GRRAP, a new algorithm, called the BAT-SSOA3, used the simplified swarm optimization (SSO) to update solutions, the small-sampling tri-objective orthogonal array (SS3OA) to tune the parameters in the proposed algorithm, the binary-addition-tree algorithm (BAT) to calculate the fitness (i. e., reliability) of each solution, and the penalty function to force infeasible back to the feasible region.
Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
Numerous CNN models, such as LeNet, AlexNet, VGG, ResNet, and GoogLeNet, have been proposed by increasing the number of layers, to improve the performance of CNNs.
Simplified Swarm Optimization for Bi-Objection Active Reliability Redundancy Allocation Problems
The reliability redundancy allocation problem (RRAP) is a well-known tool in system design, development, and management.
Convolutional Support Vector Machine
The results of these experiments verify that the proposed CSVM with the proposed SSO can effectively increase classification accuracy.
A Novel Generalized Artificial Neural Network for Mining Two-Class Datasets
This approximate GNN reliability is then compared with a given threshold to predict each instance.
