Tag neural-network [at least 200 articles] Export

Recent papers classified by the tag neural-network.

	Approximation of functions and their derivatives: A neural network implementation with applications [My Copy] Applied Mathematical Modelling, Vol. 23, No. 9. (September 1999), pp. 687-704. by T. Nguyen-Thien posted to neural-network function-approximation derivatives 1999 by ddahlem on 2009-11-21 14:49:55 as
	A New Training Approach for Parametric Modeling of Microwave Passive Components Using Combined Neural Networks and Transfer Functions [My Copy] Microwave Theory and Techniques, IEEE Transactions on, Vol. 57, No. 11. (20 October 2009), pp. 2727-2742. by Y. Cao, G. Wang, Q. J. Zhang posted to neural-network by z3phyr on 2009-11-11 03:41:54 as
	A hybrid recurrent neural network model for yeast production monitoring and control in a wine base medium [My Copy] Journal of Biotechnology, Vol. 55, No. 3. (4 July 1997), pp. 157-169. by P. Teissier, B. Perret, E. Latrille, J. M. Barillere, G. Corrieu posted to process-control neural-network fermentation by stharward on 2009-11-06 18:15:34 as
	Neural networks for robot control [My Copy] Annual Review in Automatic Programming, Vol. 19 (1994), pp. 159-166. by G. Cembrano, C. Torras, G. Wells posted to neural-network by Charence on 2009-11-04 11:25:44 as along with 1 person xlliRobot
	Neural network control for a fire-fighting robot [My Copy] Software - Concepts & Tools, Vol. 19, No. 3. (1 December 1998), pp. 146-152. by Yan Zhou, Dawn Wilkins, Robert P. Cook posted to neural-network by Charence on 2009-11-04 11:23:27 as along with 1 person tama63427366
	Developing a robust model predictive control architecture through regional knowledge analysis of artificial neural networks [My Copy] Journal of Process Control, Vol. 13, No. 5. (August 2003), pp. 423-435. by Po-Feng Tsai, Ji-Zheng Chu, Shi-Shang Jang, Shyan-Shu Shieh posted to neural-network by Charence on 2009-11-04 11:14:25 as along with 1 person josepe
	Towards improved penicillin fermentation via artificial neural networks [My Copy] Computers & Chemical Engineering, Vol. 16, No. 4. (April 1992), pp. 283-291. by C. Di Massimo, G. A. Montague, M. J. Willis, M. T. Tham, A. J. Morris posted to process-control penicillin neural-network fermentation by stharward on 2009-11-03 15:27:51 as
	Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach [My Copy] Journal of Geophysical Research - Atmospheres, Vol. 114, No. D20. (30 October 2009), D20205. by Pawan Gupta, Sundar A. Christopher posted to satellite pm25 pm10 neural-network modis by harish on 2009-11-03 05:09:00 as
	Can We Learn To Distinguish between “Drug-like” and “Nondrug-like” Molecules? [My Copy] Journal of Medicinal Chemistry, Vol. 41, No. 18. (1 August 1998), pp. 3314-3324. by Walters P. W. Ajay, Mark A. Murcko posted to neural-network in-silico-screening fingerprinting data-mining by stharward on 2009-10-21 16:53:38 as
	Neural Networks: A Systematic Introduction [My Copy] (12 July 1996) by Raul Rojas posted to supervised-learning neural-network book 1996 by ddahlem on 2009-10-10 16:56:30 as along with 1 person gatsoulis
	Neural Network Implementation Using CUDA and OpenMP [My Copy] Computing: Techniques and Applications, 2008. DICTA '08.Digital Image In Computing: Techniques and Applications, 2008. DICTA '08.Digital Image (08 December 2008), pp. 155-161. by Honghoon Jang, Anjin Park, Keechul Jung posted to parallel-computing openmp neural-network gpu cuda 2008 by ddahlem on 2009-10-08 11:46:06 as along with 1 person rschulz
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to statistics nn neural-network learning by mahmoodr on 2009-10-02 20:31:06 as along with 61 people and 11 groups ulmer fjanoos azhdari emailhy donnachie singhsh abellogin lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	An empirical comparison of supervised learning algorithms [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 161-168. by Rich Caruana, Alexandru N. Mizil posted to svm supervised-learning regression random-forst neural-network naive-bayes decision-tree comparison boosted-tree bagged-tree 2006 by ddahlem on 2009-09-27 15:43:30 as along with 1 person carlk
	Transformation of formants for voice conversion using artificial neural networks [My Copy] Speech Communication, Vol. 16, No. 2. (February 1995), pp. 207-216. by M. Narendranath posted to speech-processing neural-network modeling formant computational-model automated-analysis by awarlau on 2009-09-25 17:42:08 as
	NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction. [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 296. by Morten Nielsen, Ole Lund posted to prediction peptide neural-network mhc class-ii by neils on 2009-09-21 00:42:23 as
	Nonlinear model predictive control using neural networks [My Copy] Control Systems Magazine, IEEE, Vol. 20, No. 3. (06 August 2002), pp. 53-62. by S. Piche, B. Sayyar-Rodsari, D. Johnson, M. Gerules posted to neural-network model-predictive-control by stharward on 2009-09-18 17:21:19 as
	SNP discovery using advanced algorithms and neural networks. [My Copy] Bioinformatics (Oxford, England), Vol. 21, No. 10. (15 May 2005), pp. 2528-2530. by Per Unneberg, Michael Strömberg, Fredrik Sterky posted to tool software snp-discovery snp neural-network forage algorithm by n00c on 2009-09-13 07:27:20 as
	A cultured human neural network operates a robotic actuator. [My Copy] Bio Systems, Vol. 95, No. 2. (February 2009), pp. 137-144. by R. M. Pizzi, D. Rossetti, G. Cino, D. Marino, A L Vescovi, W. Baer posted to som robotics neural-network by rschulz on 2009-08-20 16:46:46 as
	Simple spontaneously active Hebbian learning model: Homeostasis of activity and connectivity, and consequences for learning and epileptogenesis [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 76, No. 4. (2007), 041909. by David Hsu, Aonan Tang, Murielle Hsu, John M. Beggs posted to seizure neural-network neural-modeling learning ivoc information-theory information hebbian epilepsy criticality by awarlau on 2009-08-14 16:26:00 as
	An open hypothesis: is epilepsy learned, and can it be unlearned? [My Copy] Epilepsy & behavior : E&B, Vol. 13, No. 3. (October 2008), pp. 511-522. by David Hsu, Wei Chen, Murielle Hsu, John M. Beggs posted to seizure neural-network neural-modeling memory learning ivoc hebbian epilepsy by awarlau on 2009-08-14 16:22:02 as
	Survey of clustering algorithms [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 16, No. 3. (2005), pp. 645-678. by Rui Xu, D. Wunsch posted to som review neural-network cluster-analysis algorithmic by stharward on 2009-08-14 15:14:22 as along with 14 people and 1 group arthur3131 dakelley gavin1332 thefillm pick600 qwermish sona jxl filippone seudonimo_falso amac theodora jcsilva jeojavi EC
	TD-Gammon, a self-teaching backgammon program, achieves master-level play [My Copy] Neural Comput., Vol. 6, No. 2. (March 1994), pp. 215-219. by Gerald Tesauro posted to td-gammon td reinforcement-learning neural-network function-approximation 1994 by ddahlem on 2009-08-13 14:49:24 as along with 2 people benoitstpierre fbernardo
	Fundamentals of natural computing: an overview [My Copy] Physics of Life Reviews, Vol. 4, No. 1. (March 2007), pp. 1-36. by Leandro N. de Castro posted to computational neural-network quantum-computing review by stharward on 2009-08-03 21:49:40 as along with 3 people balicea sdvillal sakthi
	Simple model of spiking neurons. [My Copy] IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council In Neural Networks, IEEE Transactions on, Vol. 14, No. 6. (2003), pp. 1569-1572. by E. M. Izhikevich posted to argonne brain bursting computational-modeling cortex hodgkin-huxley neural-network spiking by awarlau on 2009-08-02 21:50:06 as along with 16 people braskob doncieux jonjoshi paulclinger Charence subhacom davidcsterratt aureli rnaylor fbaroni yama_tah mura mikaelhuss assad79 balicea sylvain_chevallier
	The rational design of amino acid sequences by artificial neural networks and simulated molecular evolution: de novo design of an idealized leader peptidase cleavage site [My Copy] Biophysical Journal, Vol. 66, No. 2. (February 1994), pp. 335-344. by G. Schneider, P. Wrede posted to rational-design protein-structure neural-network by stharward on 2009-07-23 16:18:15 as
	Multiparameter models for the prediction of sepsis outcome [My Copy] Ann Clin Lab Sci, Vol. 26, No. 6. (1 November 1996), pp. 471-479. by A. Warner, A. Bencosme, M. M. Polycarpou, et al.D. Healy, C. Verme, J. Y. Conway, A. T. Vemuri posted to sepsis neural-network disease-prediction by stharward on 2009-07-23 13:52:11 as
	EEG-based, neural-net predictive classification of Alzheimer's disease versus control subjects is augmented by non-linear EEG measures. [My Copy] Electroencephalography and clinical neurophysiology, Vol. 91, No. 2. (August 1994), pp. 118-130. by W. S. Pritchard, D. W. Duke, K. L. Coburn, et al.N. C. Moore, K. A. Tucker, M. W. Jann, R. M. Hostetler posted to alzheimers disease-prediction neural-network by stharward on 2009-07-22 20:46:38 as
	Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks [My Copy] Nat Med, Vol. 7, No. 6. (June 2001), pp. 673-679. by Javed Khan, Jun S. Wei, Markus Ringner, et al.Lao H. Saal, Marc Ladanyi, Frank Westermann, Frank Berthold, Manfred Schwab, Cristina R. Antonescu, Carsten Peterson, Paul S. Meltzer posted to neural-network gene-expression cancer by stharward on 2009-07-22 16:24:32 as along with 3 people and 1 group giovanni eddymier frohike GeschwindLab
	Presymptomatic prediction of sepsis in intensive care unit patients. [My Copy] Clinical and vaccine immunology : CVI, Vol. 15, No. 7. (July 2008), pp. 1089-1094. by R. A. Lukaszewski, A. M. Yates, M. C. Jackson, et al.K. Swingler, J. M. Scherer, A. J. Simpson, P. Sadler, P. McQuillan, R. W. Titball, T. J. Brooks, M. J. Pearce posted to sepsis quantitative-pcr neural-network gene-expression disease-prediction by stharward on 2009-07-21 19:35:09 as
	Learning internal representations by error propagation [My Copy] In Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations (1986), pp. 318-362. by D. E. Rumelhart, G. E. Hinton, R. J. Williams posted to 1986 backpropagation function-approximation learning neural-network by ddahlem on 2009-06-28 10:52:20 as along with 2 people zheaton amorgan
	Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control [My Copy] Algorithmic Learning Theory In Algorithmic Learning Theory - 13th International Conference, ALT 2002 Lübeck, Germany, November 24–26, 2002 Proceedings (November 2009), pp. 403-414. by Rémi Coulom posted to 2002 function-approximation neural-network reinforcement-learning rl by ddahlem on 2009-06-26 11:46:05 as
	Reinforcement Learning in Continuous Time and Space: Interference and Not Ill Conditioning Is the Main Problem When Using Distributed Function Approximators [My Copy] Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 38, No. 4. (2008), pp. 950-956. by B. Baddeley posted to 2008 function-approximation neural-network reinforcement-learning by ddahlem on 2009-06-26 11:44:21 as
	Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm [My Copy] Neural Processing Letters, Vol. 22, No. 3. (December 2005), pp. 361-375. by Tasos Falas, Andreas Stafylopatis posted to 2005 conjugate-gradient function-approximation neural-network reinforcement-learning rl temporal-difference by ddahlem on 2009-06-26 11:16:18 as
	A scaled conjugate gradient algorithm for fast supervised learning [My Copy] Neural Netw., Vol. 6, No. 4. (1993), pp. 525-533. by Martin F. Moller posted to 1993 conjugate-gradient function-approximation neural-network by ddahlem on 2009-06-26 11:08:27 as
	Simulation of neocortical epileptiform activity using parallel computing [My Copy] Neurocomputing, Vol. 58-60 (June 2004), pp. 1203-1209. by W. Vandrongelen, H. Clee, M. Hereld, et al.D. Jones, M. Cohoon, F. Elsen, M. Epapka, R. Lstevens posted to brain bursting eeg epilepsy excitation inhibition neural-modeling neural-network pgenesis synchronization by awarlau on 2009-06-15 19:20:58 as
	Evaluating algorithms that learn from data streams [My Copy] In SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing (2009), pp. 1496-1500. by João Gama, Pedro P. Rodrigues, Raquel Sebastião posted to 2009 learning neural-network online sliding streaming window by ddahlem on 2009-06-08 18:01:11 as
	Role of persistent sodium current in bursting activity of mouse neocortical networks in vitro. [My Copy] Journal of neurophysiology, Vol. 96, No. 5. (November 2006), pp. 2564-2577. by W. van Drongelen, H. Koch, F. P. Elsen, et al.H. C. Lee, A. Mrejeru, E. Doren, C. J. Marcuccilli, M. Hereld, R. L. Stevens, J. M. Ramirez posted to brain bursting epilepsy nap neural-modeling neural-network persistent-sodium-current realistic by awarlau on 2009-06-01 23:39:43 as
	propagation of seizure-like activity in a model of neocortex. [My Copy] Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, Vol. 24, No. 2. (April 2007), pp. 182-188. by W. van Drongelen, H. C. Lee, R. L. Stevens, M. Hereld posted to argonne computational-modeling epilepsy excitation neocortex neural-modeling neural-network pediatric realistic seizure by awarlau on 2009-05-29 21:16:08 as
	GPU implementation of neural networks [My Copy] Pattern Recognition, Vol. 37, No. 6. (June 2004), pp. 1311-1314. by K. Oh, Keechul Jung posted to ann ati gpu neural-network by rschulz on 2009-05-27 11:01:49 as along with 3 people geomblog mukundn banu
	The Control of Neuron Number [My Copy] Annual Review of Neuroscience, Vol. 11, No. 1. (1988), pp. 423-453. by R. W. Williams, K. Herrup posted to synapse neuron neural-network by Charence on 2009-05-21 14:03:49 as along with 1 person thor_bjarnason
	Which model to use for cortical spiking neurons? [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 15, No. 5. (2004), pp. 1063-1070. by E. M. Izhikevich posted to neural-network by Charence on 2009-05-20 23:29:13 as along with 8 people doncieux subhacom bdahl memming yama_tah kcrawlik dcoates sylvain_chevallier
	Plasticity in the human central nervous system [My Copy] Brain, Vol. 129, No. 7. (July 2006), pp. 1659-1673. by S. F. Cooke, T. V. P. Bliss posted to synapse neural-network by Charence on 2009-05-18 11:54:38 as along with 2 people iceman77_7 suizan
	SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit [My Copy] Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on In Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on (2008), pp. 1011-1018. by R. D. Prabhu posted to gpu neural-network nvidia self-organizing-map som by rschulz on 2009-05-15 15:22:09 as
	A neural-based crowd estimation by hybrid global learning algorithm [My Copy] Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 29, No. 4. (1999), pp. 535-541. by Siu-Yeung Cho, T. W. S. Chow, Chi-Tat Leung posted to crowd-counting learning neural-network by etidey on 2009-05-14 14:16:16 as
	The tempotron: a neuron that learns spike timing–based decisions [My Copy] Nature Neuroscience, Vol. 9, No. 3. (12 February 2006), pp. 420-428. by Robert Gütig, Haim Sompolinsky posted to neural-network tempotron by marekrud on 2009-05-11 13:14:29 as along with 7 people sylvain_chevallier radu infogrind nelmor polydicht fbaroni sen_cheng
	A Neurodynamical cortical model of visual attention and invariant object recognition [My Copy] Vision Research, Vol. 44, No. 6. (March 2004), pp. 621-642. by G. Deco posted to multi-scale neural-network object-recognition pyramid by jmarkow on 2009-04-27 04:01:12 as
	Learning invariant object recognition in the visual system with continuous transformations. [My Copy] Biological Cybernetics, Vol. 94, No. 2. (February 2006), pp. 128-142. by S. M. Stringer, G. Perry, E. T. Rolls, J. H. Proske posted to multi-scale neural-network object-recognition pyramid by jmarkow on 2009-04-27 04:00:23 as along with 3 people and 2 groups brocktice memphisphil sinverso TulaneCEP BrainReadingGroup
	Learning transform invariant object recognition in the visual system with multiple stimuli present during training [My Copy] Neural Networks, Vol. 21, No. 7. (September 2008), pp. 888-903. by S. Stringer, E. Rolls posted to multi-scale neural-network object-recognition pyramid by jmarkow on 2009-04-27 03:59:40 as
	Invariant object recognition in the visual system with novel views of 3D objects [My Copy] Neural Computation, Vol. 14, No. 11. (2002), pp. 2585-2596. by Simon M. Stringer, Edmund T. Rolls posted to multi-scale neural-network object-recognition pyramid by jmarkow on 2009-04-27 03:56:44 as
	A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures [My Copy] Neural Computation, Vol. 12, No. 11. (2000), pp. 2547-2572. by Edmund T. Rolls, T. T. Milward posted to multi-scale neural-network object-recognition pyramid by jmarkow on 2009-04-27 03:55:32 as

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nn	62
genetic-algorithm	31
metaheuristic	24
neuroevolution	21
object-recognition	19
ga	15
pso	14
simulated-annealing	14
learning	12
robot	12
genotype-encoding	11
particle-swarm-optimization	11
simulation	11
som	11
multi-scale	10
pyramid	10
reinforcement-learning	10
evolutionary-computation	9
feedforward	9
function-approximation	9
modular	9
07	8
classification	8
combinatorial	8
machine-learning	8
statistic	8
brain	7
fmri	7
variable-structure	7
95	6
98	6
epilepsy	6
graph	6
memetic-algorithm	6
network	6
neural-modeling	6
recurrent	6
vocal-development	6
05	5
art	5
back-propagation	5
compare	5
computational-modeling	5
dynamical-system	5
fixed-structure	5
genetic-programming	5
it	5
object	5
tree-structured-neural-network	5
03	4
5s	4
94	4
97	4
ant-colony-optimization	4
approximation	4
bayesian-neural-network	4
boltzmann	4
clustering	4
constraint-programming	4
derivative-approximation	4
evolutionary	4
fitness-landscape	4
geometry	4
grasp	4
hebbian	4
information-retrieval	4
ivoc	4
kernel	4
local-search	4
manifold	4
model	4
multi-objective	4
non-linear	4
obstacle-avoidance	4
performance-assessment	4
principal-component-analysis	4
review	4
scatter-search	4
segmentation	4
seizure	4
self-organization	4
tabu-search	4
task-decomposition	4
variable-neighborhood-search	4
visualization	4
01	3
04	3
4s	3
backpropagation	3
direct-encoding	3
disease-prediction	3
esp	3
evaluation	3
forecasting	3
gpu	3
grid-world	3
information-visualization	3
neat	3
neocortex	3
time-series	3

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