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Связанные издания:

Genetic Algorithms as an Approach to Neural Network Design and Training
Genetic Programming: Proc./ European Conf., EuroGP 2000. Edinburgh, Scotland, UK, April 2000
Genetic Programming: Proc./First European Workshop, EuroGP 98. Paris, France, April 1998
Global Optimization for Neural Network Training
Grammatical Inference and Applications: Proc./Second Intern. Colloquium, ICGI-94. Alicante, Spain, September 1994
Guaranteed Storing of Limit Cycles into a Discrete-Time Asynchronous Neural Network
Guiding Term Reduction Through a Neural Network: Some Preliminary Results for the Group Theory
HNC s MatchPlus System
Honoceneous Neuronlike Structures for Optimization Variational Problem Solving
Hopfield Networks, Neural Data Structures and the Nine Flies Problem: Neural Network Programming Projects for Undergraduates
Hybrid Neural Systems
Hybrid Programming Environments
Hybrid Systems for Expertise Modelling: From Concepts to a Medical Application in Electromyography
Implementation and Application of Automata: Revised Selected Papers/ 12th International Conference CIAA 2007. Prague, Czech Republic, July 2007
Improving the Performance of Manufacturing with Real-Time Learning Using Artificial Neural Networks
Incremental Learning and Generalization Ability of Artificial Neural Network Trained by Fahlman and Lebiere`s Learning Algorithm
Infinitesimal vs.Discrete Methods in Neural Network Synthesis
Information Geometry of Neural Networks
Information Processing in Cells and Tissues: Proc./10th International Conference, IPCAT 2015, San Diego,CA,USA, September 2015
Is Designing a Neural Network Application an Art or a Science?
Iterative Middle Mapping Learning Algorithm for Cellular Neural Networks
Jackson s Theorems and the Number of Hidden Units in Neural Networks for Uniform Approximation
Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007: Part III: Proc./11th Intl Conference, KES 2007, XVII Italian Workshop on Neural Networks. Vietri sul Mare, Italy, September 2007
Knowledge Discovery Based on Neural Networks
Language Supported Storage and Reuse of Persistent Neural Network Objects
Learning Capability of T-Model Neural Network
Learning in Large Neural Networks
Learning Methods for Odor Recognition Modeling
Lifelong Learning Approach to Intelligent Agents Modeling
Life System Modeling and Simulation: Proc./International Conference, LSMS 2007. Shanghai, China, September 2007
Machine Learning: From Theory to Applications. Cooperative Research at Siemens and MIT
Mapping a Complex Temporal Problem into a Combination of Static and Dynamic Neural Networks
Mechanisms, Symbols, and Models Underlying Cognition. Part I: Proc./First International Work-Conference IWINAC 2005. Las Palmas, Canary Islands, Spain, June 2005
Modeling of Neuronal Functions: A Neuron-like Element with the Graded Response
Modifications of objects in a self-referencing system
Neural Discriminant Analysis
Neural Information Pricessing, Part I: Proc./22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 2015
Neural Information Processing: Part III: Proc./13th International Conference, ICONIP 2006. Hong Kong, China, October 2006
Neural Information Processing: PartII: Proc./13th International Conference, ICONIP 2006. Hong Kong, China, October 2006
Neural Information Processing: Part I: Proc./13th International Conference, ICONIP 2006. Hong Kong, China, October 2006
Neural Information Processing, Part I: Proc./18th International Conference, ICONIP 2011, Shanghai, China, November 2011
Neural Information Processing, Part I: Proc./23rd Information Conference, ICONIP 2016, Kyoto, Japan, October 2016
Neural Information Processing, Part I: Proc./International Conference, ICONIP 2019, Sydney,NSW,Australia, December 2019
Neural Information Processing: Proc./11th International Conference, ICONIP 2004. Calcutta, India, November 2004
Neural Learning is not Efficient
Neural Nets. A Theory for Brains and Machines
Neural Network-based Decision Making for Large Incomplete Databases
Neural Network Based Hand-Eye Positioning with a Transputer-Based System
Neural Network Learning in an Ecological and Evolutionary Context
Neural Network Processing In Large Incomplete databases: Automatic Knowledge Acquisition