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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005 Book

Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005
Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005, The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio, Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005 has a rating of 3 stars
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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005, The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio, Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005
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  • Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005
  • Written by author Bernadete Ribeiro
  • Published by Springer-Verlag New York, LLC, May 2005
  • The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio
  • The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio
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ADFUNN : an adaptive function neural network1
Certain comments on data preparation for neural networks based modelling5
A simple method for selection of inputs and structure of feedforward neural networks9
The concept and properties of sigma-if neural network13
Beta wavelet networks for function approximation18
Speeding up backpropagation with multiplicative batch update step22
Generating sequential triangle strips by using Hopfield nets25
The linear approximation method to the modified Hopfield neural network parameters analysis29
The analytical analysis of Hopfield neuron parameters by the application of special trans function theory33
Time-oriented hierarchical method for computation of minor components38
Evolution versus learning in temporal neural networks42
Minimization of empirical error over perceptron networks46
Interval basis neural networks50
Learning from randomly-distributed inaccurate measurements54
Combining topological and cardinal directional relation information in QSR62
An evidence theoretic ensemble design technique66
Cortical modulation of synaptic efficacies through norepinephrine70
Associative memories with small world connectivity74
A memory-based reinforcement learning model utilizing macro-actions78
A biologically motivated classifier that preserves implicit relationship information in layered networks82
Large scale hetero-associative networks with very high classification ability and attractor discrimination consisting of cumulative-learned 3-layer neural networks86
Crack width prediction of RC structures by artificial neural networks92
A neural network system for modelling of coagulant dosage used in drinking water treatment96
ANN modeling applied to NO[subscript X] reduction with octane. ANN future in personal vehicles100
A method for detecting cause-effects in data from complex processes104
Predictive data mining on rubber compound database108
Applying neural network to inverse kinematic problem for 6R robot manipulator with offset wrist112
Local cluster neural network chip for control116
A switching controller for nonlinear systems via fuzzy models120
Competitive decentralized autonomous neural net controllers124
Improved hierarchical fuzzy control scheme128
On-line inference of finite automata in noisy environments132
Improved clustering by rotation of cluster centres136
Hierarchical growing neural gas140
A clustering algorithm using cellular learning automata based evolutionary algorithm144
Estimating the number of clusters from distributional results of partitioning a given data set151
AUDyC neural network using a new Gaussian densities merge mechanism155
The growing hierarchical self-organizing feature maps and genetic algorithms for large scale power system security159
3D self-organizing convex neural network architectures164
Novel learning algorithm aiming at generating a unique units distribution in standard SOM168
SOM-based estimation of meteorological profiles173
An efficient heuristic for the traveling salesman problem based on a growing SOM-like algorithm177
Evolutionary design and evaluation of modeling system for forecasting urban airborne maximum pollutant concentrations181
Evolving evolvability : evolving both representations and operators185
A multi-objective evolutionary algorithm for solving traveling salesman problems : application to the design of polymer extruders189
The pareto-box problem for the modelling of evolutionary multiobjective optimization algorithms194
Implementation and experimental validation of the population learning algorithm applied to solving QAP instances198
Estimating the distribution in an EDA202
Modelling chlorine decay in water networks with genetic programming206
Evolving blackjack strategies using cultural learning210
Two-criterion optimization in state assignment for synchronous finite state machines using NSGA-II214
Offspring selection : a new self-adaptive selection scheme for genetic algorithms218
Using genetic algorithms with real-coded binary representation for solving non-stationary problems222
Dynamics in proportionate selection226
Generating grammatical plant models with genetic algorithms230
Golomb rulers : experiments with marks representation235
Evolving segments length in golomb rulers239
Resource-limited genetic programming : replacing tree depth limits243
Treating some constraints as hard speeds up the ESG local search algorithm247
Applications of PSO algorithm and OIF Elman neural network to assessment and forecasting for atmospheric quality251
A hybrid particle swarm optimization model for the traveling salesman problem255
Perceptive particle swarm optimisation259
Wasp swarm optimization of logistic systems264
A parallel vector-based particle swarm optimizer268
Numerical simulations of a possible hypercomputational quantum algorithm272
Simulated fault injection in quantum circuits with the bubble bit technique276
Redundant quantum arithmetic280
A special class of additive cyclic codes for DNA computing284
Evolutionary algorithms for static and dynamic optimization of fed-batch fermentation processes288
Benchmark testing of simulated annealing, adaptive random search and genetic algorithms for the global optimization of bioprocesses292
Dynamic modelling and optimisation of a mammalian cells process using hybrid grey-box systems296
Adaptive DO-based control of substrate feeding in high cell density cultures operated under oxygen transfer limitation300
Evolutionary design of neural networks for classification and regression304
Pelican - protein-structure alignment using cellular automaton models308
An efficient algorithm for De Novo peptide sequencing312
Emergent behavior of interacting groups of communicative agents316
Integrating binding site predictions using meta classification methods321
Reverse engineering gene networks with artificial neural networks325
A meta-level architecture for adaptive applications329
Adaptive finite state automata and genetic algorithms : merging individual adaptation and population evolution333
Modeling a tool for the generation of programming environments for adaptive formalisms337
Adaptive decision tables : a case study of their application to decision-taking problems341
Robotic mapping and navigation in unknown environments using adaptive automata345
An adaptive framework for the design of software specification languages349
Swarm intelligence clustering algorithm based on attractor353
Ant-based distributed optimization for supply chain management357
Comparison of nature inspired and deterministic scheduling heuristics considering optimal schedules361
An external memory supported ACO for the frequency assignment problem365
Neural networks for extraction of fuzzy logic rules with application to EEG data369
A new neuro-based method for short term load forecasting of Iran National Power System373
Approximating the algebraic solution of systems of interval linear equations with use of neural networks377
Comparing diversity and training accuracy in classifier selection for plurality voting based fusion381
Visualization of meta-reasoning in multi-agent systems385
Intelligent agent inspired genetic algorithm389
Combining lazy learning, racing and subsampling for effective feature selection393
Personalized news access397
A more accurate text classifier for positive and unlabeled data401
Efficiency aspects of neural network architecture evolution using direct and indirect encoding405
Genetic algorithm optimization of an artificial neural network for financial applications409
A method to improve generalization of neural networks : application to the problem of bankruptcy prediction417
An adaptive neural system for financial time series tracking421
Probabilistic artificial neural networks for malignant melanoma prognosis425
Boosting kernel discriminant analysis with adaptive kernel selection429
Product kernel regularization networks433
Statistical correlations and machine learning for steganalysis437
The use of multi-criteria in feature selection to enhance text categorization441
Text classification from partially labeled distributed data445
Recovering the cyclic-code of generated polynomial by using evolutionary computation449
Intrusion detection system based on a cooperative topology preserving method454
Model selection for kernel based intrusion detection systems458
A comparison of three genetic algorithms for locking-cache contents selection in real-time systems462
A binary digital watermarking scheme based on the orthogonal vector and ICA-SCS denoising466
Simulating binocular eye movements based on 3-D short-term memory image in reading470
An algorithm for face pose adjustment based on gray-scale static image474
Learning image filtering from a gold sample based on genetic optimization of morphological processing478
Associative memories and diagnostic classification of EMG signals482
Discretization of series of communication signals in noisy environment by reinforcement learning486
The research of speaker-independent continuous Mandarin Chinese digits speech-recognition based on the dynamic search method of high-dimension space vertex cover490


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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005, The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio, Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005, The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio, Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005, The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational bio, Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005

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