Artificial Neural Network

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Parent Topic:

Computer Science, Machine learning

Child Topic:

Computer audition, CHAID, Artificial Intelligence System, Nonparametric statistics, Root-mean-square deviation, Design matrix, Wake-sleep algorithm, XOR gate, Hopfield network, Linear regression, Linear search problem, Neural gas, Neuroevolution, Frank–Wolfe algorithm, Fuzzy set, Function approximation, Variance function, Logistic function, Autoregressive fractionally integrated moving average, Autoassociative memory, Identifiability, Time delay neural network, Restricted Boltzmann machine, Group method of data handling, Pruning, Degrees of freedom, Parametric statistics, Coherence, Autoregressive integrated moving average, Silhouette, Recursive self-improvement, Cognitive computer, Exclusive or, Perceptron, Generalized Hebbian Algorithm, Central pattern generator, Postsynaptic density, Likelihood-ratio test, Structured prediction, U-matrix, Cluster analysis, Delta rule, Quickprop, CoDi, Random walker algorithm, Hydroinformatics, Standardized coefficient, Fuzzy cognitive map, Semiparametric regression, Predictive modelling, Collider, Recursive partitioning, Nonlinear dimensionality reduction, Statistic, Kernel, Projection pursuit regression, Surrogate model, Mean signed difference, Discrete choice, Stochastic gradient descent, k-means clustering, Support vector machine, Rate–distortion optimization, Local regression, Nonparametric regression, Multivariate kernel density estimation, Stochastic neural network, Long short term memory, Artificial general intelligence, Dimensionality reduction, Tree kernel, Echo state network, Nonlinear regression, Range segmentation, Leabra, Reservoir computing, Generalized additive model, AND gate, Elias gamma coding, Log-linear model, Structured data analysis, Psi-Theory, Hindcast, Loss function, Balance equation, Cognitive model, Margin, Cellular neural network, Independent component analysis, Confounding, Sigmoid function, White box, Multivariate adaptive regression splines, Mixed logit, Self-organizing map, Adaptive resonance theory, Multilayer perceptron, Early stopping, Advanced Microwave Sounding Unit, Non-linear least squares, Rectifier, Neural coding, Linde–Buzo–Gray algorithm, Backpropagation, Bio-inspired computing, Softmax function, Local tangent space alignment, FastICA, Blind signal separation, Copycat, Probabilistic neural network, Wetware computer, Sensor fusion, Adaptive coding, Automatic target recognition, System identification, Gradient descent, Graph kernel, Empirical risk minimization, Fading distribution, Multicollinearity, Region growing, Unary coding, Response surface methodology, Watershed, Least squares, Cognitive architecture, G-network, BCMP network, Poisson regression, Radial basis function network, Neuroevolution of augmenting topologies, Generative topographic map, Decision boundary, Creatures, Neural cryptography, Liquid state machine, Feature detection, Random neural network, Neural decoding, Generalized linear model, PVLV, Anti-Hebbian learning, Elastic map, Kendall's W, Catastrophic interference, Mean absolute error, Transistor count, Artificial brain, Nonlinear system identification, Physical symbol system, k-medoids, Kruskal–Wallis one-way analysis of variance, Neocognitron, Gompertz function, Mean squared error, Logit, Memristor, Neural modeling fields, Analytics, Universal approximation theorem, Kernel method, Image segmentation, Set partitioning in hierarchical trees, Natural computing, Activation function, Radial basis function, Incremental decision tree, Microscale and macroscale models, Structure mapping engine, Content-addressable memory, Bivariate analysis, Moderation, Regression analysis, Dovetailing, Multinomial test, Madaline, ADALINE, Truncation, Moral graph, Seam carving, Kernel smoother, Multivariate analysis, CPU core voltage, Homosynaptic plasticity, Autoencoder, Artificial architecture, Hierarchical temporal memory, Defuzzification, Pivotal quantity, Overfitting, Nonlinear autoregressive exogenous model, Sensor array, Programmable metallization cell, Hebbian theory, HOMER1, Regression dilution, Fuzzy logic, LZX, Case-based reasoning, Diffusion map, Infomax, Applications of artificial intelligence, Elastic net regularization, Feedforward neural network, Generalized beta distribution, Hierarchical generalized linear model, Interface Message Processor, Neuro-fuzzy, Bainite, Complex contagion, General linear model, Fuzzy clustering, Cross-validation, OR gate, Specification, Product of experts, Variables, k-nearest neighbors algorithm, Chaotic hysteresis, Inverter, Statistical noise, Generalized linear mixed model, Oja's rule, Müller-Lyer illusion, Multifactor dimensionality reduction, Learning vector quantization, Sensory neuroscience, Artificial consciousness, Recurrent neural network, Levenberg–Marquardt algorithm, Bidirectional associative memory, Coefficient of determination, Principal component analysis, Predictive analytics, Simplification, Driving cycle, Occupancy grid mapping, Competitive learning, Decision tree learning, Synaptic weight, Space mapping, Sammon mapping, BCM theory, Decision tree, Artificial immune system, Ordinary least squares, RANSAC, Conditional random field, Multiple trace theory, Boltzmann machine, Vector quantization, Kernel regression, Winnow, Long-term potentiation, Computational creativity, Synaptic plasticity, Rprop, Generalization error, Dummy variable, Point set registration, Otsu's method, Quantile regression, Multidimensional scaling, Dehaene–Changeux model, Memory-prediction framework

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Paper Recommendation
2000 The Nature of Statistical Learning Theory

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1991 Introduction To The Theory of Neural Computation

1951 Representation of Events in Nerve Nets and Finite Automata

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2001 The Elements of Statistical Learning

1990 The Self-organizing Map

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