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Genetic algorithms and their applications to the design of neural networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf01411372openalex-snapshot
Generation and adaptation of neural networks by evolutionary techniques (GANNET)
inferredcites →https://doi.org/10.1007/bf01411376openalex-snapshot
Genetic set recombination and its application to neural network topology optimisation
inferredcites →https://doi.org/10.1016/0022-5193(71)90002-6openalex-snapshot
Developmental systems without cellular interactions, their languages and grammars
inferredcites →https://doi.org/10.1016/0167-8191(90)90086-oopenalex-snapshot
Genetic algorithms and neural networks: optimizing connections and connectivity
inferredcites →https://doi.org/10.1016/0196-8858(89)90008-0openalex-snapshot
Scaling, machine learning, and genetic neural nets
inferredcites →https://doi.org/10.1016/b978-1-4832-1448-1.50014-7openalex-snapshot
The Evolution of Learning: An Experiment in Genetic Connectionism
inferredcites →https://doi.org/10.1017/s0263574700004215openalex-snapshot
Genetic Algorithms and Simulated Annealing edited by Lawrence Davis Pitman, London, 1987 (£19.95)
inferredcites →https://doi.org/10.1287/moor.11.2.343openalex-snapshot
Probabilistic Algorithm for the Directed Traveling Salesman Problem
inferredcites →https://doi.org/10.1287/moor.2.3.209openalex-snapshot
Probabilistic Analysis of Partitioning Algorithms for the Traveling-Salesman Problem in the Plane
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.7551/mitpress/4926.001.0001openalex-snapshot
Neural Computing Architectures
inferredcites →https://doi.org/10.7551/mitpress/4926.003.0012openalex-snapshot
Applications of N-tuple sampling and genetic algorithms to speech recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Automated Gesturing for Embodied Agents
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Real-time Monitoring of Environmental Pollutants in the Workplace Using Neural Networks and FTIR Spectroscopy
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Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
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Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure
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Metaheuristics: A bibliography
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Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
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Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms
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Evolutionary design of neural network architectures: a review of three decades of research
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A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks
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Genetic Algorithms in Computer-Aided Molecular Design
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Strengths and Weaknesses of the Backpropagation Neural Network in QSAR and QSPR Studies
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Modeling spatial groundwater level patterns of Bangladesh using physio-climatic variables and machine learning algorithms
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Real-time language independent lip synchronization method using a genetic algorithm
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Enhanced Data Utilization Approach to Improve the Prediction Performance of Groundwater Level Using Semianalytical and Data Process Models
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Some experimental evidence on the performance of GA-designed neural networks
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Notice of Retraction Neural Network optimized with a self-adaptive Differential Evolution Algorithm for PID controller
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Genetic synthesis of piecewise-linear neural networks
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Bayesian Learning of Neural Networks by Means of Artificial Immune Systems
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Multilayer Perceptron and Evolutionary Radial Basis Function Neural Network Models for Discrimination of HIV-1 Genomes
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