# | Title | Journal | Year | Citations |
---|
1 | Multilayer feedforward networks are universal approximators | Neural Networks | 1989 | 16,040 |
2 | Deep learning in neural networks: An overview | Neural Networks | 2015 | 12,685 |
3 | Independent component analysis: algorithms and applications | Neural Networks | 2000 | 6,796 |
4 | Stacked generalization | Neural Networks | 1992 | 5,157 |
5 | Approximation capabilities of multilayer feedforward networks | Neural Networks | 1991 | 4,131 |
6 | On the approximate realization of continuous mappings by neural networks | Neural Networks | 1989 | 3,655 |
7 | Framewise phoneme classification with bidirectional LSTM and other neural network architectures | Neural Networks | 2005 | 3,361 |
8 | A scaled conjugate gradient algorithm for fast supervised learning | Neural Networks | 1993 | 3,349 |
9 | Probabilistic neural networks | Neural Networks | 1990 | 3,293 |
10 | Multiple paired forward and inverse models for motor control | Neural Networks | 1998 | 2,069 |
11 | Forward Models for Physiological Motor Control | Neural Networks | 1996 | 1,929 |
12 | Networks of spiking neurons: The third generation of neural network models | Neural Networks | 1997 | 1,929 |
13 | Practical selection of SVM parameters and noise estimation for SVM regression | Neural Networks | 2004 | 1,631 |
14 | Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks | Neural Networks | 1990 | 1,612 |
15 | Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system | Neural Networks | 1991 | 1,511 |
16 | Central pattern generators for locomotion control in animals and robots: A review | Neural Networks | 2008 | 1,493 |
17 | On the momentum term in gradient descent learning algorithms | Neural Networks | 1999 | 1,470 |
18 | Trends in extreme learning machines: A review | Neural Networks | 2015 | 1,454 |
19 | Increased rates of convergence through learning rate adaptation | Neural Networks | 1988 | 1,432 |
20 | A systematic study of the class imbalance problem in convolutional neural networks | Neural Networks | 2018 | 1,413 |
21 | Multilayer feedforward networks with a nonpolynomial activation function can approximate any function | Neural Networks | 1993 | 1,402 |
22 | Nonlinear neural networks: Principles, mechanisms, and architectures | Neural Networks | 1988 | 1,392 |
23 | Continual lifelong learning with neural networks: A review | Neural Networks | 2019 | 1,365 |
24 | Optimal unsupervised learning in a single-layer linear feedforward neural network | Neural Networks | 1989 | 1,347 |
25 | Modeling attention to salient proto-objects | Neural Networks | 2006 | 1,100 |
26 | MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation | Neural Networks | 2020 | 1,092 |
27 | Essentials of the self-organizing map | Neural Networks | 2013 | 1,086 |
28 | Growing cell structures—A self-organizing network for unsupervised and supervised learning | Neural Networks | 1994 | 1,072 |
29 | Neural networks and principal component analysis: Learning from examples without local minima | Neural Networks | 1989 | 960 |
30 | Recent advances in physical reservoir computing: A review | Neural Networks | 2019 | 951 |
31 | An introduction to neural computing | Neural Networks | 1988 | 925 |
32 | Experimental demonstration of associative memory with memristive neural networks | Neural Networks | 2010 | 924 |
33 | Analysis of hidden units in a layered network trained to classify sonar targets | Neural Networks | 1988 | 914 |
34 | Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition | Neural Networks | 2012 | 914 |
35 | ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network | Neural Networks | 1991 | 903 |
36 | Neocognitron: A hierarchical neural network capable of visual pattern recognition | Neural Networks | 1988 | 837 |
37 | Topology representing networks | Neural Networks | 1994 | 808 |
38 | An experimental unification of reservoir computing methods | Neural Networks | 2007 | 783 |
39 | Multi-column deep neural network for traffic sign classification | Neural Networks | 2012 | 776 |
40 | Improving support vector machine classifiers by modifying kernel functions | Neural Networks | 1999 | 775 |
41 | Principal components, minor components, and linear neural networks | Neural Networks | 1992 | 761 |
42 | Opponent interactions between serotonin and dopamine | Neural Networks | 2002 | 744 |
43 | Approximation of dynamical systems by continuous time recurrent neural networks | Neural Networks | 1993 | 741 |
44 | What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? | Neural Networks | 1999 | 719 |
45 | A systems approach to appraisal mechanisms in emotion | Neural Networks | 2005 | 694 |
46 | Optimization and applications of echo state networks with leaky- integrator neurons | Neural Networks | 2007 | 685 |
47 | Automatic early stopping using cross validation: quantifying the criteria | Neural Networks | 1998 | 681 |
48 | String algorithms and neural network processing for improved pattern recognition | Neural Networks | 1988 | 671 |
49 | Global exponential stability of generalized recurrent neural networks with discrete and distributed delays | Neural Networks | 2006 | 642 |
50 | Competitive learning algorithms for vector quantization | Neural Networks | 1990 | 639 |