IWANN 2001:
Granada,
Spain - Volume 1
José Mira, Alberto Prieto (Eds.):
Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I.
Lecture Notes in Computer Science 2084 Springer 2001, ISBN 3-540-42235-8 BibTeX
@proceedings{DBLP:conf/iwann/2001-1,
editor = {Jos{\'e} Mira and
Alberto Prieto},
title = {Connectionist Models of Neurons, Learning Processes and Artificial
Intelligence, 6th International Work-Conference on Artificial
and Natural Neural Networks, IWANN 2001 Granada, Spain, June
13-15, 2001, Proceedings, Part I},
booktitle = {IWANN},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2084},
year = {2001},
isbn = {3-540-42235-8},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Foundations of Connectionism and Biophysical Models of Neurons
- Oscar Herreras, José Manuel Ibarz, L. López-Aguado, Pablo Varona:
Dendrites: The Last Generation Computers.
1-13
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- Etelvina Andreu, Raquel Pomares, Bernat Soria, Juan Vicente Sánchez-Andrés:
Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks.
14-20
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- Eduardo Sánchez Vila, Senén Barro, Jorge Mariño, Antonio Canedo:
A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus.
21-29
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- Ruggero Scorcioni, Giorgio A. Ascoli:
Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy.
30-37
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- José Mira, Ana E. Delgado García:
What Can We Compute with Lateral Inhibition Circuits?
38-46
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- Jianfeng Feng:
Neuronal Models with Current Inputs.
47-54
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- José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Josef Ammermüller, Richard A. Normann, Eduardo Fernández:
Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory.
55-62
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- Roustem Miftakov, James Christensen:
Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons.
63-71
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- Reza Rajimehr, Leila Montaser Kouhsari:
Neurobiological Modeling of Bursting Response During Visual Attention.
72-80
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- Konstantin A. Saltykov, Igor A. Shevelev:
Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism.
81-86
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- Santi Chillemi, Michele Barbi, Angelo Di Garbo:
Synchronisation Mechanisms in Neuronal Networks.
87-94
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- Tino Lourens, Hiroshi G. Okuno, Hiroaki Kitano:
Detection of Oriented Repetitive Alternating Patterns in Color Images (A Computational Model of Monkey Grating Cells).
95-107
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- Ernesto Pereda, Joydeep Bhattacharya:
Synchronization in Brain - Assessment by Electroencephalographic Signals.
108-116
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- Manuel A. Sánchez-Montañés:
Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons.
117-125
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Structural and Functional Models of Neurons
- Tetsuto Minami, Toshio Inui:
A Neural Network Model of Working Memory (Processing of "What" and "Where" Information).
126-133
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- Mehdi N. Shirazi:
Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry.
134-141
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- Claudio Moraga, Luis Salinas:
Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz.
142-149
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- Isabel Gonzalo, Miguel A. Porras:
Time-Dispersive Effects in the J. Gonzalo's Research on Cerebral Dynamics.
150-157
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- Pedro Rodrigues, José Félix Costa, Hava T. Siegelmann:
Verifying Properties of Neural Networks.
158-165
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- José Andrés Berzal, Pedro J. Zufiria:
Algorithms and Implementation Architectures for Hebbian Neural Networks.
166-173
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- Flávio Joaquim de Souza, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting.
174-183
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- José Barahona da Fonseca, Isabel Barahona da Fonseca, Carmen Paz Suárez Araujo, José Simões da Fonseca:
The Chemical Metaphor in Neural Computation.
184-195
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- Tai-Wen Yue, Suchen Chiang:
The General Neural-Network Paradigm for Visual Cryptography.
196-206
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- José Santos Reyes, Richard J. Duro:
Pi-DTB, Discrete Time Backpropagation with Product Units.
207-214
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- Shunji Satoh, Shogo Miyake, Hirotomo Aso:
Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources.
215-222
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- J. David Buldain Pérez:
Classification with Synaptic Radial Basis Units.
223-234
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- Naoyuki Tsuruta, Yuichiro Yoshiki, Tarek El. Tobely:
A Randomized Hypercolumn Model and Gesture Recognition.
235-242
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- Sergio Negri, Lluís Belanche:
Heterogeneous Kohonen Networks.
243-252
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- J. David Buldain Pérez:
Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks.
253-268
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- Ajith Abraham:
Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques.
269-276
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- Rudy Setiono:
Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.
277-284
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- Armando Blanco, Miguel Delgado, Marial del Carmen Pegalajar Jiménez, Ignacio Requena:
Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks.
285-292
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- Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Measure of Noise Immunity for Functional Networks.
293-300
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- Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis.
301-307
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- Antonio S. Cofiño, José Manuel Gutiérrez:
Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures.
308-315
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- Enrique Castillo, Ali S. Hadi, Beatriz Lacruz:
Optimal Transformations in Multiple Linear Regression Using Functional Networks.
316-324
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Learning and Other Plasticity Phenomena,
and Complex Systems Dynamics
- Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park:
Generalization Error and Training Error at Singularities of Multilayer Perceptrons.
325-332
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- Vladimir Chinarov, Michael Menzinger:
Bistable Gradient Neural Networks: Their Computational Properties.
333-338
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- Sean Snyders, Christian W. Omlin:
Inductive Bias in Recurrent Neural Networks.
339-346
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- Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón:
Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks.
347-354
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- José Antonio Gómez-Ruiz, José Muñoz-Pérez, Ezequiel López-Rubio, M. Angeles García-Bernal:
Expansive and Competitive Neural Networks.
355-362
Electronic Edition (Springer LINK) BibTeX
- Joern Fischer, Ralph Breithaupt, Mathias Bode:
Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent.
363-369
Electronic Edition (Springer LINK) BibTeX
- Hiroyuki Okada, Hiroshi Yamakawa, Takashi Omori:
Two Dimensional Evaluation Reinforcement Learning.
370-377
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- Hiroshi Yamakawa, Yuji Miyamoto, Hiroyuki Okada:
Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent.
378-385
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- Andries Petrus Engelbrecht:
Selective Learning for Multilayer Feedforward Neural Networks.
386-393
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- Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures.
394-401
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- Hyeyoung Park:
Practical Consideration on Generalization Property of Natural Gradient Learning.
402-408
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- Ganesh Arulampalam, Abdesselam Bouzerdoum:
Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks.
410-417
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- Jianfeng Feng:
Non-symmetric Support Vector Machines.
418-426
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- José R. Dorronsoro, Ana M. González, Carlos Santa Cruz:
Natural Gradient Learning in NLDA Networks.
427-434
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- Iuri Wickert, Felipe M. G. França:
AUTOWISARD: Unsupervised Modes for the WISARD.
435-441
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- Gordon Milligan, Michael K. Weir, Jonathan P. Lewis:
Neural Steering: Diffcult and Impossible Sequential Problems for Gradient Descent.
442-449
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- Jong-Min Lee, Dae-Jin Kim, In-Young Kim, Sun I. Kim:
Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG.
450-456
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- Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, Juan S. Senent Español, Javier Sanchis:
Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control.
457-465
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- Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Miguel Andres Martínez Iranzo, Juan S. Senent Español:
Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process.
466-473
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- Carlos Cotta, José M. Troya:
A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem.
474-481
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- Horacio M. González Velasco, Carlos J. García Orellana, Miguel Macías Macías, M. Isabel Acevedo Sotoca:
GA Techniques Applied to Contour Search in Images of Bovine Livestock.
482-489
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- Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel:
Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information.
490-497
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- Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega:
RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting.
498-505
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- Víctor Manuel Rivas Santos, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós:
Evolving RBF Neural Networks.
506-513
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- German Gutiérrez Sanchez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván:
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.
514-521
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- Enrique Mérida Casermeiro, José Muñoz, Rafaela Benítez:
A Recurrent Multivalued Neural Network for the N-Queens Problem.
522-529
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- Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas:
A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time.
530-537
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- Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón:
Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks.
538-545
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- Emílio Del Moral Hernandez:
Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis.
546-553
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- Valery Tereshko:
Topology-Preserving Elastic Nets.
554-560
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- Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura:
Optimization with Linear Constraints in the Neural Network.
561-569
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- Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, Alberto Prieto:
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules.
570-578
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- José D. Piñeiro, Roberto L. Marichal, Lorenzo Moreno, Jose F. Sigut, Evelio J. González:
Study of Chaos in a Simple Discrete Recurrence Neural Network.
579-585
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- Habiba Drias:
Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems.
586-593
Electronic Edition (Springer LINK) BibTeX
- Michael Affenzeller:
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA).
594-601
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- Nadia Jacoby:
Evolution of Firms in Complex Worlds Generalized NK Models.
602-611
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- Santiago Garrido, Luis Moreno:
Learning Adaptive Parameters with Restricted Genetic Optimization Method.
612-620
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- Juan Castellanos, Carlos Martín-Vide, Victor Mitrana, José M. Sempere:
Solving NP-Complete Problems With Networks of Evolutionary Processors.
621-628
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- Gustavo Romero, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós, Alberto Prieto:
Using SOM for Neural Network Visualization.
629-636
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- Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet:
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context.
637-644
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- Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez:
Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks.
645-652
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- Robert Burbidge, Matthew W. B. Trotter, Bernard F. Buxton, Sean B. Holden:
STAR - Sparsity through Automated Rejection.
653-660
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- Cecilio Angulo, Andreu Català:
Ordinal Regression with K-SVCR Machines.
661-668
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- Sergio Bermejo, Joan Cabestany:
Large Margin Nearest Neighbor Classifiers.
669-676
Electronic Edition (Springer LINK) BibTeX
- Winfried A. Fellenz:
Reduced Support Vector Selection by Linear Programs.
677-684
Electronic Edition (Springer LINK) BibTeX
- Hilario Gómez-Moreno, Saturnino Maldonado-Bascón, Francisco López-Ferreras:
Edge Detection in Noisy Images Using the Support Vector Machines.
685-692
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- Camino R. Vela, Ramiro Varela, Jorge Puente:
Initialization in Genetic Algorithms for Constraint Satisfaction Problems.
693-700
Electronic Edition (Springer LINK) BibTeX
- Jorge Muruzábal:
Evolving High-Posterior Self-Organizing Maps.
701-708
Electronic Edition (Springer LINK) BibTeX
- Rafael Nogueras, Carlos Cotta:
Using Statistical Techniques to Predict GA Performance.
709-716
Electronic Edition (Springer LINK) BibTeX
- Julian Dorado, Antonino Santos, Juan R. Rabuñal:
Multilevel Genetic Algorithm for the Complete Development of ANN.
717-724
Electronic Edition (Springer LINK) BibTeX
- Antonio Miguel López Rodríguez, Hilario López García, Luciano Sánchez:
Graph Based GP Applied to Dynamical Systems Modeling.
725-732
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- Terence Kwok, Kate A. Smith:
Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation.
733-740
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- Kate A. Smith, Jatinder N. D. Gupta:
Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function.
741-748
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- Pablo Cortés, Fernando Guerrero, David Canca, José M. García:
An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas.
749-756
Electronic Edition (Springer LINK) BibTeX
- Sa Li, Lipo Wang:
Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing.
757-764
Electronic Edition (Springer LINK) BibTeX
Artificial Intelligence and Cognitive Processes
- Igor Aleksander, Helen Morton, Barry Dunmall:
Seeing is Believing: Depictive Neuromodeling of Visual Awareness.
765-771
Electronic Edition (Springer LINK) BibTeX
- José Mira, Rafael Martínez, José R. Álvarez, Ana E. Delgado García:
DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference.
772-782
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- Janet Aisbett, Greg Gibbon:
Conceptual Spaces as Voltage Maps.
783-790
Electronic Edition (Springer LINK) BibTeX
- Guido Bologna:
Determining Hyper-planes to Generate Symbolic Rules.
791-798
Electronic Edition (Springer LINK) BibTeX
- Agapito Ledezma, Antonio Berlanga, Ricardo Aler:
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills.
799-806
Electronic Edition (Springer LINK) BibTeX
- J. G. (Iain) Wallace, Kevin Bluff:
ANNs and the Neural Basis for General Intelligence.
807-813
Electronic Edition (Springer LINK) BibTeX
- Juan Carlos Herrero:
Knowledge and Intelligence.
814-820
Electronic Edition (Springer LINK) BibTeX
- Iara Moema Oberg Vilela, Priscila Machado Vieira Lima:
Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover.
822-830
Electronic Edition (Springer LINK) BibTeX
Copyright © Sat May 16 23:27:06 2009
by Michael Ley (ley@uni-trier.de)