Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Seismotectonics Considered Artificial Neural Network Earthquake Prediction in Northeast Seismic Region of China
A probabilistic neural network for earthquake magnitude prediction
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
A systematic compilation of earthquake precursors
Developing an expert system based on association rules and predicate logic for earthquake prediction
Predicting the Maximum Earthquake Magnitude from Seismic Data in Israel and Its Neighboring Countries
Adaptive artificial neural networks for seismic fragility analysis
Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey
Real-Time Earthquake Detection Using Convolutional Neural Network and Social Data
A hybrid computational approach to derive new ground-motion prediction equations
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Neural networks for seismic principal components analysis
seismic parameters ' combinations for the optimum prediction of the damage state of r / c buildings using neural networks .
Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction
A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey
Earthquake likelihood model testing
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
Ionospheric Precursors of Earthquakes; Recent Advances in Theory and Practical Applications
Analysis on Building Seismic Damage in the Wenchuan Earthquake
Landslide prediction using artificial neural networks
Automatic detection and rapid determination of earthquake magnitude by wavelet multiscale analysis of the primary arrival
Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques
Pattern recognition computation using action potential timing for stimulus representation
PROBABILISTIC NEURAL NETWORKS
What Can the Samoan "Fa'afafine" Teach Us about the Western Concept of Gender Identity Disorder in Childhood?
Subjective well-being amongst migrant children in China: unravelling the roles of social support and identity integration