Genetic programming: building artificial nervous systems using genetically programmed neural network modules

by: H de Garis

edited by: BW Porter, RJ Mooney

(FebruaryJanuary-FebruaryMarch 1990), pp. 132-139.

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摘要

Contents 1. Introduction 2. Neural Networks 3. The Genetic Algorithm 4. GenNets 5. Genetic Programming (GP) 6. Example 1 : "Pointer" 7. Example 2 : "Walker" 8. Example 3 : "LIZZY" 9. Discussion & Future Ideas 10. References 1. Introduction One of the author's interests is studying future computing technologies and then considering the conceptual problems they will pose. The major concern in this regard is called the "Complexity Problem", i.e. how will computer scientists over the next twenty...

@inproceedings{citeulike:3018302, abstract = {Contents 1. Introduction 2. Neural Networks 3. The Genetic Algorithm 4. GenNets 5. Genetic Programming (GP) 6. Example 1 : \"Pointer\" 7. Example 2 : \"Walker\" 8. Example 3 : \"LIZZY\" 9. Discussion \& Future Ideas 10. References 1. Introduction One of the author's interests is studying future computing technologies and then considering the conceptual problems they will pose. The major concern in this regard is called the \"Complexity Problem\", i.e. how will computer scientists over the next twenty...}, address = {Austin, TX}, author = {de Garis, H. }, booktitle = {Machine Learning: Proceedings of the Seventh International Conference}, citeulike-article-id = {3018302}, editor = {Porter, B. W. and Mooney, R. J. }, keywords = {indirect}, month = {FebruaryJanuary-FebruaryMarch}, pages = {132--139}, posted-at = {2008-07-18 14:41:41}, priority = {2}, publisher = {Morgan Kaufmann, Palo Alto, CA}, title = {Genetic programming: building artificial nervous systems using genetically programmed neural network modules}, url = {http://citeseer.ist.psu.edu/degaris90genetic.html}, year = {1990} }

RIS record

TY - CONF ID - citeulike:3018302 L3 - citeulike-article-id:3018302 TI - Genetic programming: building artificial nervous systems using genetically programmed neural network modules T2 - Machine Learning: Proceedings of the Seventh International Conference SP - 132 EP - 139 AD - Austin, TX PB - Morgan Kaufmann, Palo Alto, CA N2 - Contents 1. Introduction 2. Neural Networks 3. The Genetic Algorithm 4. GenNets 5. Genetic Programming (GP) 6. Example 1 : "Pointer" 7. Example 2 : "Walker" 8. Example 3 : "LIZZY" 9. Discussion & Future Ideas 10. References 1. Introduction One of the author's interests is studying future computing technologies and then considering the conceptual problems they will pose. The major concern in this regard is called the "Complexity Problem", i.e. how will computer scientists over the next twenty... KW - indirect AU - de Garis, H A2 - Porter, BW A2 - Mooney, RJ PY - 1990/21-23// UR - http://citeseer.ist.psu.edu/degaris90genetic.html ER -

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