# | Title | Journal | Year | Citations |
---|
|
1 | Multilayer feedforward networks are universal approximators | Neural Networks | 1989 | 16,637 |
2 | Deep learning in neural networks: An overview | Neural Networks | 2015 | 13,220 |
3 | Independent component analysis: algorithms and applications | Neural Networks | 2000 | 6,970 |
4 | Stacked generalization | Neural Networks | 1992 | 5,420 |
5 | Approximation capabilities of multilayer feedforward networks | Neural Networks | 1991 | 4,296 |
6 | On the approximate realization of continuous mappings by neural networks | Neural Networks | 1989 | 3,688 |
7 | Framewise phoneme classification with bidirectional LSTM and other neural network architectures | Neural Networks | 2005 | 3,607 |
8 | A scaled conjugate gradient algorithm for fast supervised learning | Neural Networks | 1993 | 3,404 |
9 | Probabilistic neural networks | Neural Networks | 1990 | 3,329 |
10 | Multiple paired forward and inverse models for motor control | Neural Networks | 1998 | 2,100 |
11 | Networks of spiking neurons: The third generation of neural network models | Neural Networks | 1997 | 2,056 |
12 | Forward Models for Physiological Motor Control | Neural Networks | 1996 | 1,981 |
13 | Introduction to the theory of neural computation | Neural Networks | 1994 | 1,767 |
14 | Practical selection of SVM parameters and noise estimation for SVM regression | Neural Networks | 2004 | 1,674 |
15 | Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks | Neural Networks | 1990 | 1,662 |
16 | On the momentum term in gradient descent learning algorithms | Neural Networks | 1999 | 1,550 |
17 | A systematic study of the class imbalance problem in convolutional neural networks | Neural Networks | 2018 | 1,545 |
18 | Central pattern generators for locomotion control in animals and robots: A review | Neural Networks | 2008 | 1,534 |
19 | Continual lifelong learning with neural networks: A review | Neural Networks | 2019 | 1,530 |
20 | Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system | Neural Networks | 1991 | 1,520 |
21 | Trends in extreme learning machines: A review | Neural Networks | 2015 | 1,506 |
22 | Multilayer feedforward networks with a nonpolynomial activation function can approximate any function | Neural Networks | 1993 | 1,455 |
23 | Increased rates of convergence through learning rate adaptation | Neural Networks | 1988 | 1,447 |
24 | Nonlinear neural networks: Principles, mechanisms, and architectures | Neural Networks | 1988 | 1,407 |
25 | Optimal unsupervised learning in a single-layer linear feedforward neural network | Neural Networks | 1989 | 1,367 |
26 | MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation | Neural Networks | 2020 | 1,283 |
27 | Essentials of the self-organizing map | Neural Networks | 2013 | 1,161 |
28 | Recent advances in physical reservoir computing: A review | Neural Networks | 2019 | 1,124 |
29 | Modeling attention to salient proto-objects | Neural Networks | 2006 | 1,109 |
30 | Growing cell structures—A self-organizing network for unsupervised and supervised learning | Neural Networks | 1994 | 1,082 |
31 | Neural networks and principal component analysis: Learning from examples without local minima | Neural Networks | 1989 | 970 |
32 | Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition | Neural Networks | 2012 | 964 |
33 | Experimental demonstration of associative memory with memristive neural networks | Neural Networks | 2010 | 944 |
34 | An introduction to neural computing | Neural Networks | 1988 | 937 |
35 | Analysis of hidden units in a layered network trained to classify sonar targets | Neural Networks | 1988 | 924 |
36 | ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network | Neural Networks | 1991 | 911 |
37 | Neocognitron: A hierarchical neural network capable of visual pattern recognition | Neural Networks | 1988 | 862 |
38 | An experimental unification of reservoir computing methods | Neural Networks | 2007 | 824 |
39 | Topology representing networks | Neural Networks | 1994 | 815 |
40 | Multi-column deep neural network for traffic sign classification | Neural Networks | 2012 | 806 |
41 | Improving support vector machine classifiers by modifying kernel functions | Neural Networks | 1999 | 795 |
42 | Principal components, minor components, and linear neural networks | Neural Networks | 1992 | 774 |
43 | Sigmoid-weighted linear units for neural network function approximation in reinforcement learning | Neural Networks | 2018 | 759 |
44 | Approximation of dynamical systems by continuous time recurrent neural networks | Neural Networks | 1993 | 757 |
45 | Opponent interactions between serotonin and dopamine | Neural Networks | 2002 | 755 |
46 | What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? | Neural Networks | 1999 | 730 |
47 | Optimization and applications of echo state networks with leaky- integrator neurons | Neural Networks | 2007 | 719 |
48 | Deep learning in spiking neural networks | Neural Networks | 2019 | 716 |
49 | Automatic early stopping using cross validation: quantifying the criteria | Neural Networks | 1998 | 710 |
50 | A systems approach to appraisal mechanisms in emotion | Neural Networks | 2005 | 703 |