Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Genetic algorithms and neural networks: optimizing connections and connectivity
Training Feedforward Neural Networks Using Genetic Algorithms
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms
Introduction to genetic algorithms
genetic algorithms : theory and applications .
An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms
Genetic Algorithms and Engineering Optimization
a real - coded genetic algorithm for training recurrent neural networks .
particle swarm optimization - neural networks , 1995 . proceedings . , ieee international conference on .
Optimization of Control Parameters for Genetic Algorithms
Efficient evolution of neural network topologies
Combination of Multiple Neural Networks to Solve Travelling Salesman Problem using Genetic Algorithm
A hybrid particle swarm optimization – backpropagation algorithm for feedforward neural network training
A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms
Genetic Algorithm Performance with Different Selection Methods in Solving Multi-Objective Network Design Problem
Genetic Algorithms and the Optimal Allocation of Trials
Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms
Evolutionary design of artificial neural networks with different nodes
A survey of parallel distributed genetic algorithms
GENETIC ALGORITHM: REVIEW AND APPLICATION
Acne Conglobata Associated with Hidradenitis Suppurativa, Disorders of Follicular Occlusion (Case Report)
Hiding in plain sight: Characterizing and detecting malicious Facebook pages
Electrophoretic mobility shift assays for the analysis of DNA-protein interactions.
Learning internal representations by error propagation
Proposing stochastic probability-based math model and algorithms utilizing social networking and academic data for good fit students prediction