Danil V. Prokhorov

发表

Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory

Valentin A. Nepomnyashchikh, Vladimir G. Red'ko, Konstantin V. Anokhin, 2006, SAB ABiALS.

Robust Multitask Multiview Tracking in Videos

Zhibin Hong, Dacheng Tao, Danil V. Prokhorov, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Investigation of Evolving Populations of Adaptive Agents

Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov, 2005, ICANN.

Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, 2007, Neural Computation.

Feedback Neurocontrol of a Disease

Danil V. Prokhorov, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Approximating Optimal Control with Value Gradient Learning

Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov, 2013 .

Adaptive classification

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

KDD and Its Applications in Automotive Sector - A Brief Survey

Krishna R. Pattipati, Liu Qiao, Shunsuke Chigusa, 2008, DMIN.

Phased backpropagation: a hybrid of BPTT and temporal BP

Danil V. Prokhorov, Lee A. Feldkamp, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Tracking via Robust Multi-task Multi-view Joint Sparse Representation

Zhibin Hong, Dacheng Tao, Danil V. Prokhorov, 2013, 2013 IEEE International Conference on Computer Vision.

Training Recurrent Neurocontrollers for Real-Time Applications

Danil V. Prokhorov, 2007, IEEE Transactions on Neural Networks.

Performance measurement and its role in advancement for intelligent systems: discussion points

Danil V. Prokhorov, Yasuo Uehara, 2009, PerMIS.

Toyota Prius HEV neurocontrol

Danil V. Prokhorov, 2007, 2007 International Joint Conference on Neural Networks.

Multi-agent framework for remote diagnostics

Danil V. Prokhorov, 2010, IEEE Congress on Evolutionary Computation.

Tracking Using Multilevel Quantizations

Zhibin Hong, Dacheng Tao, Danil V. Prokhorov, 2014, ECCV.

Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter

Danil V. Prokhorov, 2006, IEEE Transactions on Neural Networks.

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

Fan Yang, Lei Zhang, Haibin Ling, 2019, IEEE Transactions on Intelligent Transportation Systems.

The need for improved reinforcement learning techniques in intelligent agents

Donald C. Wunsch, Danil V. Prokhorov, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Efficiency of Shallow Cascades for Improving Deep Learning AI Systems

Ivan Tyukin, Danil V. Prokhorov, Alexander N. Gorban, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Editorial: One Year as EiC, and Editorial-Board Changes at TNN

Michael G. Paulin, Kazushi Ikeda, Rhee Man Kil, 2011, IEEE Trans. Neural Networks.

Analyzing for Lyapunov stability with adaptive critics

Danil V. Prokhorov, Lee A. Feldkamp, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Acoustic interface for an autonomous driving system

Danil V. Prokhorov, Yasuo Uehara, 2014 .

Clipping in Neurocontrol by Adaptive Dynamic Programming

Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Neural Networks in Automotive Applications

Danil V. Prokhorov, D. Prokhorov, 2008, Computational Intelligence in Automotive Applications.

Neurocontrollers for Ball-and-Beam Systems

Donald C. Wunsch, Danil V. Prokhorov, P. H. Eaton, 1996 .

Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning

Prashant Doshi, Danil V. Prokhorov, Tomoki Nishi, 2019, IEEE Transactions on Intelligent Vehicles.

Probabilistic and Time-Delay Techniques for Conservative Short-term Stock Trend Prediction

Donald C. Wunsch, Danil V. Prokhorov, H. Tan, 1995 .

Differential Features for Pedestrian Detection: A Taylor Series Perspective

Haibin Ling, Jifeng Shen, Wankou Yang, 2019, IEEE Transactions on Intelligent Transportation Systems.

Stability analysis of discrete-time recurrent neural networks

Nikita Barabanov, Danil V. Prokhorov, D. Prokhorov, 2002, IEEE Trans. Neural Networks.

Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction

Donald C. Wunsch, Danil V. Prokhorov, Paul H. Eaton, 2000, IEEE Trans. Neural Networks Learn. Syst..

Intelligent Control Systems Using Computational Intelligence [book review]

Danil V. Prokhorov, 2007, IEEE Trans. Neural Networks.

Adaptive control with nonconvex parameterization

Ivan Tyukin, Danil V. Prokhorov, Valery A. Terekhov, 2003, IEEE Trans. Autom. Control..

Convergence of critic-based training

Donald C. Wunsch, Danil V. Prokhorov, D. Wunsch, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time

Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov, 2013, IEEE Transactions on Neural Networks and Learning Systems.

A benchmark for cross-weather traffic scene understanding

Honggang Zhang, Haibin Ling, Danil V. Prokhorov, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Blur-Resilient Tracking Using Group Sparsity

Erik Blasch, Haitao Lang, Haibin Ling, 2014, ACCV.

Model-Free Dual Heuristic Dynamic Programming

Haibo He, Zhen Ni, Xiangnan Zhong, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Automotive Turing Test

Danil V. Prokhorov, Steven F. Kalik, 2007 .

Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks

Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Learning to tell brake and turn signals in videos using CNN-LSTM structure

Ming-Hsuan Yang, Yi-Hsuan Tsai, Danil V. Prokhorov, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Approximation with random bases: Pro et Contra

Ivan Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov, 2015, Inf. Sci..

Adaptive critic designs and their applications

Donald C. Wunsch, Danil V. Prokhorov, 1997 .

Detection and motion planning for roadside parked vehicles at long distance

Danil V. Prokhorov, Xue Mei, Bunyo Okumura, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

Computational Intelligence in Automotive R & D

Danil V. Prokhorov, 2014, IJCCI.

Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic pdf

Prashant Doshi, Danil V. Prokhorov, Tomoki Nishi, 2017, ArXiv.

Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply]

Anil K. Jain, Jianchang Mao, Donald C. Wunsch, 1997, IEEE Trans. Neural Networks.

Primitive adaptive critics

Danil V. Prokhorov, Lee A. Feldkamp, D. Prokhorov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A new approach to cluster-weighted modeling

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Robust controller design of continuous-time nonlinear system using neural network

Haibo He, Xiangnan Zhong, Danil V. Prokhorov, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Welcome to the special issue

Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, 2005, Neural Networks.

Intelligent Systems for Modeling and Control: Advances in Design and Validation

Johann Schumann, Danil V. Prokhorov, 2008, 2008 IEEE International Symposium on Intelligent Control.

Remote control of an autonomous vehicle in an unexpected environment

Danil V. Prokhorov, Bunyo Okumura, 2015 .

Road obstacle classification with attention windows

Danil V. Prokhorov, 2010, 2010 IEEE Intelligent Vehicles Symposium.

IEEE Transactions on Intelligent Vehicles Senior Associate Editors

Mohan M. Trivedi, Emilio Frazzoli, Christian Laugier, 2016, IEEE Trans. Intell. Veh..

Overview of CI research in automotive ITS

Danil V. Prokhorov, D. Prokhorov, 2011, 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings.

Conditioned adaptive behavior from Kalman filter trained recurrent networks

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study

Matthew Derry, Katsuhiro Sakai, Danil V. Prokhorov, 2016, IEEE Transactions on Intelligent Vehicles.

Adaptive critic designs: A case study for neurocontrol

Roberto A. Santiago, Donald C. Wunsch, Danil V. Prokhorov, 1995, Neural Networks.

Classification of epileptic EEG using neural network and wavelet transform

Donald C. Wunsch, Danil V. Prokhorov, Arthur Petrosian, 1996, Optics & Photonics.

Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques

Krishna R. Pattipati, Kihoon Choi, Liu Qiao, 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A model of evolution and learning

Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov, 2005, Neural Networks.

Adaptive parameter robust estimation

Danil V. Prokhorov, Saeid Habibi, Dhafar S. Mohammed, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks

Danil V. Prokhorov, Lee A. Feldkamp, Timothy M. Feldkamp, 2003, Neural Networks.

A Self-learning System for Object Categorization

Danil V. Prokhorov, 2009, ICEIS.

A Convolutional Learning System for Object Classification in 3-D Lidar Data

Danil V. Prokhorov, D. Prokhorov, 2010, IEEE Transactions on Neural Networks.

Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization

Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, 2005, IEEE Transactions on Automatic Control.

Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion

Ivan Tyukin, Danil V. Prokhorov, Ilya V. Romanenko, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

Zhe Chen, Zhibin Hong, Dacheng Tao, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to tell brake lights with convolutional features

Ming-Hsuan Yang, Yi-Ting Chen, Yi-Hsuan Tsai, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Adaptive control on manifolds with RBF neural networks

Danil V. Prokhorov, I. Yu. Tyukin, V. A. Terekhov, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Training Winner-Take-All Simultaneous Recurrent Neural Networks

Donald C. Wunsch, Danil V. Prokhorov, Xindi Cai, 2007, IEEE Transactions on Neural Networks.

RGB-D Scene Labeling with Multimodal Recurrent Neural Networks

Haibin Ling, Danil V. Prokhorov, Xue Mei, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics pdf

Prashant Doshi, Danil V. Prokhorov, Michael R. James, 2017, ArXiv.

Toward Highly Intelligent Automobiles

Danil V. Prokhorov, D. Prokhorov, 2016, VEHITS.

Adaptive behavior with fixed weights in RNN: an overview

Danil V. Prokhorov, I.Yu. Tyukin, L. A. Feldkarnp, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Prius control with a hybrid method

Danil V. Prokhorov, 2007, ICINCO-RA.

Corrections To "Adaptive Critic Designs"

Donald C. Wunsch, Danil V. Prokhorov, 1997, IEEE Trans. Neural Networks.

Human Model-Based Active Driving System in Vehicular Dynamic Simulation

Zhi Li, Jie Fu, Michael A. Gennert, 2020, IEEE Transactions on Intelligent Transportation Systems.

Learning and Evolution of Autonomous Adaptive Agents

Vladimir G. Red'ko, Danil V. Prokhorov, D. Prokhorov, 2010, Advances in Machine Learning I.

Neural network training with the nprKF

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Recurrent neural network training by nprKF joint estimation

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Advanced neural network training methods for low false alarm stock trend prediction

Donald C. Wunsch, Danil V. Prokhorov, E. W. Saad, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

An online actor-critic learning approach with Levenberg-Marquardt algorithm

Haibo He, Jian Fu, Zhen Ni, 2011, The 2011 International Joint Conference on Neural Networks.

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming

Haibo He, Dongbin Zhao, Xin Xu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Spatial Prior for Nonparametric Road Scene Parsing

Honggang Zhang, Haibin Ling, Danil V. Prokhorov, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Toyota Prius HEV neurocontrol and diagnostics

Danil V. Prokhorov, D. Prokhorov, 2008, Neural Networks.

Feasibility of random basis function approximators for modeling and control

Ivan Tyukin, Danil V. Prokhorov, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Approximating optimal controls with recurrent neural networks for automotive systems

Danil V. Prokhorov, 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

Akkustikschnittstelle for an automated driving system

Danil V. Prokhorov, Yasuo Uehara, 2014 .

Advanced Adaptive Critic Designs

Donald C. Wunsch, Danil V. Prokhorov, 1996 .

Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control

Frank L. Lewis, Yongduan Song, Marios M. Polycarpou, 2017, IEEE Trans. Neural Networks Learn. Syst..

BPTT and DAC — A Common Framework for Comparison

Jennie Si, Danil V. Prokhorov, Warren Buckler Powell, 2012 .

Dynamic fusion of classifiers for fault diagnosis

Krishna R. Pattipati, Kihoon Choi, Liu Qiao, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming

Haibo He, Dongbin Zhao, Zhen Ni, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Object recognition in 3D lidar data with recurrent neural network

Danil V. Prokhorov, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene

Dacheng Tao, Danil V. Prokhorov, Xue Mei, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Novel classifier fusion approahces for fault diagnosis in automotive systems

Krishna R. Pattipati, Kihoon Choi, Liu Qiao, 2009, 2007 IEEE Autotestcon.

A General Training Procedure for Stable Control with Adaptive Critic Designs

Donald C. Wunsch, Danil V. Prokhorov, 1997 .

Guest Editorial Special Issue on Neural Networks for Feedback Control Systems

Frank L. Lewis, Jie Huang, Thomas Parisini, 2007, IEEE Transactions on Neural Networks.

Radar-vision fusion for object classification

Zhengping Ji, Danil V. Prokhorov, D. Prokhorov, 2008, 2008 11th International Conference on Information Fusion.

Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study

Ivan Tyukin, Danil V. Prokhorov, Alexander N. Gorban, 2018, Inf. Sci..

Cross datasets vegetation detection with spatial prior and local context

Haibin Ling, Danil V. Prokhorov, Xue Mei, 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

To co-capable multi-agent system for fault diagnosis on a vehicle and associated method

Danil V. Prokhorov, Sandesh Ghimire, 2012 .

Application of SVM to Lyapunov function approximation

Danil V. Prokhorov, Lee A. Feldkamp, D. Prokhorov, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A new method for stability analysis of nonlinear discrete-time systems

Nikita Barabanov, Danil V. Prokhorov, 2003, IEEE Trans. Autom. Control..

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Risk estimator for control in intelligent transportation system

Danil V. Prokhorov, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Assist Each Other Through Top-down Connections

Juyang Weng, Zhengping Ji, Danil V. Prokhorov, 2008 .

Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

Donald C. Wunsch, Danil V. Prokhorov, Arthur Petrosian, 2000, Neurocomputing.

Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach

Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, 2003, Neural Computation.

Early recognition of Alzheimer's disease in EEG using recurrent neural network and wavelet transform

Danil V. Prokhorov, Arthur Petrosian, Randolph B. Schiffer, 2000, SPIE Optics + Photonics.

Enhanced Multi-Stream Kalman Filter Training for Recurrent Networks

Danil V. Prokhorov, Lee A. Feldkamp, F. Yuan, 1998 .

A self-learning sensor fusion system for object classification

Danil V. Prokhorov, 2009, 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems.

A Folded Neural Network Autoencoder for Dimensionality Reduction

Jing Wang, Haibo He, Danil V. Prokhorov, 2012, INNS-WC.

Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems

Haibo He, He Jiang, Chengzhi Yuan, 2018, 2018 Annual American Control Conference (ACC).

Optimal neurocontrollers for discretized distributed parameter systems

Danil V. Prokhorov, D. Prokhorov, 2003, Proceedings of the 2003 American Control Conference, 2003..

Neuromorphic and Brain-Based Robots: Autonomous visuomotor development for neuromorphic robots

Juyang Weng, Zhengping Ji, Danil V. Prokhorov, 2011 .

Cluster-weighted modeling with multiclusters

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Object Recognition in 3 D Lidar Data with Recurrent Neural Network

Danil V. Prokhorov, 2009 .