Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: CONTRIBUTION Approximation Capabilities of Muitilayer Feedforward Networks
universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks .
Error bounds for approximations with deep ReLU networks
A Penalty-Function Approach for Pruning Feedforward Neural Networks
Efficient and accurate approximations of nonlinear convolutional networks
Using Background Knowledge in Multilayer Perceptron Learning
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
Node splitting: A constructive algorithm for feed-forward neural networks
Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network
Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks
Learning Neural Network Architectures using Backpropagation
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
prediction with multilayer perceptron , fir and elman neural networks .
Forward Thinking: Building and Training Neural Networks One Layer at a Time
Applications of counterpropagation networks
Nonlinear Neural Networks: Principles, Mechanisms, and Architectures
Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network
LOBAL OPTIMALITY CONDITIONS FOR DEEP NEURAL NETWORKS
Open Problem: The landscape of the loss surfaces of multilayer networks
MODULAR NEURAL NETWORKS: A SURVEY
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
LightGBM: An Effective miRNA Classification Method in Breast Cancer Patients
Neural Net and Traditional Classifiers
Exploring mobile wallet adoption in Indonesia using UTAUT2: An approach from consumer perspective
Cloud Platform Datastore Support
Low-power static and dynamic high-voltage CMOS level-shifter circuits