Stochastic Support Vector Machine for Classifying and Regression of Random Variables
Concept Learning Using Vague Concept Lattice
Pruning the Ensemble of ANN Based on Decision Tree Induction
Sensor Deployment Scheme Based on Social Spider Optimization Algorithm for Wireless Sensor Networks
Temperature-Based Deep Boltzmann Machines
Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse
Fixed-Size Extreme Learning Machines Through Simulated Annealing
Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity
Pseudo Almost Periodic Shunting Inhibitory Cellular Neural Networks with Multi-proportional Delays
Finite-Time Stability for Delayed Complex-Valued BAM Neural Networks
Driver State Analysis Based on Imperfect Multi-view Evidence Support
Determining Approximate Solutions of Nonlinear Ordinary Differential Equations Using Orthogonal Colliding Bodies Optimization
Robust Stability of Inertial BAM Neural Networks with Time Delays and Uncertainties via Impulsive Effect
Knowledge Fusion in Feedforward Artificial Neural Networks
L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification
Robust Low Rank Subspace Segmentation via Joint \(\ell _{21} \)-Norm Minimization
A New Virtual Samples-Based CRC Method for Face Recognition
Small-Scale Building Load Forecast based on Hybrid Forecast Engine
Fitness Landscape Analysis of Weight-Elimination Neural Networks
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification
A Multi-Valued Neuron Based Complex ELM Neural Network
Fast Pedestrian Detection Based on the Selective Window Differential Filter
Safety-Critical Support Vector Regressor Controller for Nonlinear Systems
Solitary Wave and Periodic Wave Solutions of Generalized Neutral-Type Neural Networks with Delays
Global Mittag-Leffler Synchronization of Fractional-Order Neural Networks Via Impulsive Control
Two Novel Versions of Randomized Feed Forward Artificial Neural Networks: Stochastic and Pruned Stochastic
A Multimodal Optimization Algorithm Inspired by the States of Matter
Synchronization of Heterogeneous Partially Coupled Networks with Heterogeneous Impulses
The Global Exponential Stability of the Delayed Complex-Valued Neural Networks with Almost Periodic Coefficients and Discontinuous Activations
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization
On Extending the Noncircular Fast Independent Vector Analysis Algorithm to the Noisy Model
