Adaptive and Natural Computing Algorithms

Lingua: inglese

Editore: Springer, Springer Okt 2009, 2009

3642049206 / 9783642049200

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -Neural Networks.- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation.- On Tractability of Neural-Network Approximation.- Handling Incomplete Data Using Evolution of Imputation Methods.- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping.- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.- Some Enhancements to Orthonormal Approximation of 2D Functions.- Shortest Common Superstring Problem with Discrete Neural Networks.- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks.- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models.- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models.- Parallel Implementations of Recurrent Neural Network Learning.- Growing Competitive Network for Tracking Objects in Video Sequences.- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps.- Network Security Using Growing Hierarchical Self-Organizing Maps.- On Document Classification with Self-Organising Maps.- Evolutionary Computation.- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices.- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms.- Elitistic Evolution: An Efficient Heuristic for Global Optimization.- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps.- Grid-Oriented Scatter Search Algorithm.- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem.- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation.- Time-Dependent Performance Comparison of Evolutionary Algorithms.- Multiobjective Genetic Programming for Nonlinear System Identification.- NEAT in HyperNEAT Substituted with Genetic Programming.- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography.- Estimation of Sensor Network Topology Using Ant Colony Optimization.- Learning.- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks.- A Hierarchical Classifier with Growing Neural Gas Clustering.- A Generative Model for Self/Non-self Discrimination in Strings.- On the Efficiency of Swap-Based Clustering.- Sum-of-Squares Based Cluster Validity Index and Significance Analysis.- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators.- String Distances and Uniformities.- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts.- Efficient Hold-Out for Subset of Regressors.- Improving Optimistic Exploration in Model-Free Reinforcement Learning.- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning.- A Cat-Like Robot Real-Time Learning to Run.- Controlling the Experimental Three-Tank System via Support Vector Machines.- Feature-Based Clustering for Electricity Use Time Series Data.- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex.- Soft Computing.- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification.- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers.- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study.- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models.- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles.- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs.- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems.- Bioinformatics.- Multiple Order Gradient Feature for Macro-Invertebr.…

Codice articolo 9783642049200

Titolo
Adaptive and Natural Computing Algorithms
Autore
Ville Kolehmainen
Editore
Springer, Springer Okt 2009
Anno di pubblicazione
2009
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3642049206
ISBN 13
9783642049200
Peso dell'articolo
966 grammi
Dimensioni
235x155x35 mm

buchversandmimpf2000

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Venditore AbeBooks dal 23 gennaio 2017

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ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 60,00EUR 75,00
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