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Efficient evolution of asymmetric recurrent neural networks using a PDGP-inspired two-dimensional representation

https://doi.org/10.1007/bfb0055933
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ange.19931050947openalex-snapshot
Artificial Life II. A Proceedings Volume in the Santa Fe Institute Studies on the Sciences of Complexity. Herausgegeben von C. G. Langton. C. Taylor, J. D. Farmer und S. Rasmussen. Addison‐Wesley, Redwood City, CA (USA), 1992. XXI, 854 S., geb. 57.95 $. – ISBNO‐201–52570‐4
inferredcites →https://doi.org/10.1007/3-540-56798-4_144openalex-snapshot
Genetic synthesis of discrete-time recurrent neural network
inferredcites →https://doi.org/10.1007/978-3-7091-6492-1_92openalex-snapshot
Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming
inferredcites →https://doi.org/10.1007/978-3-7091-7533-0_9openalex-snapshot
Evolving Recurrent Neural Networks
inferredcites →https://doi.org/10.1007/bf00993045openalex-snapshot
Genetic reinforcement learning for neurocontrol problems
inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot
Finding structure in time
inferredcites →https://doi.org/10.1016/0893-6080(94)90014-0openalex-snapshot
Introduction to the theory of neural computation
inferredcites →https://doi.org/10.1016/0967-0661(95)90080-2openalex-snapshot
Neural networks: A comprehensive foundation
inferredcites →https://doi.org/10.1016/s0893-6080(05)80030-9openalex-snapshot
General asymmetric neural networks and structure design by genetic algorithms
inferredcites →https://doi.org/10.1023/a:1022674030396openalex-snapshot
Genetic Reinforcement Learning for Neurocontrol Problems
inferredcites →https://doi.org/10.1103/physrevlett.59.2229openalex-snapshot
Generalization of back-propagation to recurrent neural networks
inferredcites →https://doi.org/10.1109/3477.558801openalex-snapshot
Computational capabilities of recurrent NARX neural networks
inferredcites →https://doi.org/10.1109/72.265958openalex-snapshot
Evolving recurrent perceptrons for time-series modeling
inferredcites →https://doi.org/10.1109/72.265959openalex-snapshot
Genetic evolution of the topology and weight distribution of neural networks
inferredcites →https://doi.org/10.1109/72.265960openalex-snapshot
An evolutionary algorithm that constructs recurrent neural networks
inferredcites →https://doi.org/10.1109/72.279188openalex-snapshot
Recurrent neural networks and robust time series prediction
inferredcites →https://doi.org/10.1109/72.317740openalex-snapshot
Pruning recurrent neural networks for improved generalization performance
inferredcites →https://doi.org/10.1109/72.548162openalex-snapshot
Learning long-term dependencies in NARX recurrent neural networks
inferredcites →https://doi.org/10.1109/79.180705openalex-snapshot
Progress in supervised neural networks
inferredcites →https://doi.org/10.1109/icec.1994.349960openalex-snapshot
Evolutionary generation and training of recurrent artificial neural networks
inferredcites →https://doi.org/10.1109/icec.1995.487449openalex-snapshot
Evolving recurrent neural networks with non-binary encoding
inferredcites →https://doi.org/10.1109/icnn.1993.298716openalex-snapshot
A comparison of recurrent neural network learning algorithms
inferredcites →https://doi.org/10.1201/9780429499661openalex-snapshot
Introduction to the Theory of Neural Computation
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time

What points at this work

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

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Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks
inferred← citeshttps://doi.org/10.1007/3-540-48885-5_22openalex-snapshot
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-45224-9_75openalex-snapshot
On the Design of an Artificial Life Simulator
inferred← citeshttps://doi.org/10.1007/978-3-642-01181-8_4openalex-snapshot
On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-24094-2_21openalex-snapshot
Design of Evolvable Biologically Inspired Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-7908-1770-6_7openalex-snapshot
Discovering Efficient Learning Rules for Feedforward Neural Networks Using Genetic Programming
inferred← citeshttps://doi.org/10.1007/bfb0055923openalex-snapshot
Genetic Programming
inferred← citeshttps://doi.org/10.1007/s00521-003-0393-9openalex-snapshot
Evolving transfer functions for artificial neural networks
inferred← citeshttps://doi.org/10.1017/cbo9780511529627.011openalex-snapshot
Evolutionary and Adaptive Synthesis Methods
inferred← citeshttps://doi.org/10.1080/17445760802660387openalex-snapshot
On dynamical genetic programming: simple Boolean networks in learning classifier systems
inferred← citeshttps://doi.org/10.1109/cec.2004.1331109openalex-snapshot
The effect of noise on the performance of cultural evolution in multi-agent systems
inferred← citeshttps://doi.org/10.1109/ijcnn.2002.1005602openalex-snapshot
Neural network design through embedded representations and evolutionary computation
inferred← citeshttps://doi.org/10.1162/106454603322221496openalex-snapshot
Evolving Small Neurocontrollers with Self-Organized Compact Encoding
inferred← citeshttps://doi.org/10.1162/artl.2007.13.1.45openalex-snapshot
The Effects of Cultural Learning in Populations of Neural Networks
inferred← citeshttps://doi.org/10.1162/evco_a_00080openalex-snapshot
Dynamical Genetic Programming in XCSF
inferred← citeshttps://doi.org/10.1177/1059712306072335openalex-snapshot
Increasing Population Diversity Through Cultural Learning
inferred← citeshttps://doi.org/10.5772/51273openalex-snapshot
Applying Artificial Neural Network Hadron - Hadron Collisions at LHC
inferred← citeshttps://doi.org/10.7907/5hrp-nd58.openalex-snapshot
Efficient automatic engineering design synthesis via evolutionary exploration
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