Search Results

Partially connected feedforward neural networks on Apollonian networks,
Wing-Keung Wong, Z.X. Guo and S.Y.S. Leung, in Physica A: Statistical Mechanics and its Applications (2010)
Keywords: Feedforward neural networks; Partially connected neural networks; Apollonian networks; Randomly connected neural networks;

THE ATTRACTORS IN SEQUENCE PROCESSING NEURAL NETWORKS,
Yong Chen, Yin Hai Wang and Kong Qing Yang, in International Journal of Modern Physics C (IJMPC) (2000)
Keywords: Neural Network, Asymmetric Neural Networks, Attractor, Relaxation Time, Dilution Factor

Intuitionistic Fuzzy Deep Neural Network,
Krassimir Atanassov, Sotir Sotirov and Tania Pencheva, in Mathematics (2023)
Keywords: intuitionistic fuzzy deep neural network; intuitionistic fuzzy set; neural network

Neural network powered COVID-19 spread forecasting model,
Michał Wieczorek, Jakub Siłka and Marcin Woźniak, in Chaos, Solitons & Fractals (2020)
Keywords: COVID-19; Prediction; Neural network;

Effect of data standardization on neural network training,
M. Shanker, M. Y. Hu and M. S. Hung, in Omega (1996)
Keywords: neural networks modelling

Synchronization regimes in a map-based model neural network,
E.J. Agnes, R. Erichsen and L.G. Brunnet, in Physica A: Statistical Mechanics and its Applications (2010)
Keywords: Neural networks; Synchronization; Dynamics;

Optimising memory usage in n-tuple neural networks,
R.J. Mitchell, J.M. Bishop and P.R. Minchinton, in Mathematics and Computers in Simulation (MATCOM) (1996)
Keywords: Neural networks; Pattern recognition;

Existence and Global Attractivity of Stable Solutions in Neural Networks,
Patrick Leoni and Pietro Senesi, from Institute for Empirical Research in Economics - University of Zurich
Keywords: Neural Networks, Stable Value

Efficiency in Public Sector: A Neural Network Approach,
Francisco Delgado, from Society for Computational Economics (2004)
Keywords: Neural Networks, Efficiency, DEA

Boosting Estimation of RBF Neural Networks for Dependent Data,
George Kapetanios and Andrew Blake, from Queen Mary University of London, School of Economics and Finance (2007)
Keywords: Neural Networks, Boosting

Neural Network Approaches to Spatial Knowledge Representation and Inference,
Yee Leung, from Springer (1997)
Keywords: Associative Memory, Radial Basis Function Neural Network, Feedforward Neural Network, Recurrent Neural Network, Neural Network Approach

Modelling option prices using neural networks,
L.F. Hoogerheide and Herman van Dijk, from Society for Computational Economics (2006)
Keywords: options, neural networks

Realized Volatility Forecasting with Neural Networks,
Andrea Bucci, from University Library of Munich, Germany (2019)
Keywords: Neural Networks; Realized Volatility; Forecast

Differential Evolution for Neural Networks Optimization,
Marco Baioletti, Gabriele Di Bari, Alfredo Milani and Valentina Poggioni, in Mathematics (2020)
Keywords: neuroevolution; differential evolution; neural networks

Pricing financial derivatives with neural networks,
Marco J Morelli, Guido Montagna, Oreste Nicrosini, Michele Treccani, Marco Farina and Paolo Amato, in Physica A: Statistical Mechanics and its Applications (2004)
Keywords: Econophysics; Option pricing; Neural networks;

Variable projections neural network training,
V. Pereyra, G. Scherer and F. Wong, in Mathematics and Computers in Simulation (MATCOM) (2006)
Keywords: Neural networks; Variable projection algorithm;

Advances in verification of ReLU neural networks,
Ansgar Rössig and Milena Petkovic, in Journal of Global Optimization (2021)
Keywords: Neural networks verification, ReLU, MIP

A Neural Network Application in Personnel Scheduling,
G. Hao, K.K. Lai and M. Tan, in Annals of Operations Research (2004)
Keywords: personnel scheduling, rostering, neural network,

Analysis of ROBECO data by neural networks,
Wojtek Kowalczyk and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (1995)
Keywords: Neural network; Classification; Client satisfaction;

PREPROCESSING IN ATTRACTOR NEURAL NETWORKS,
C.G. Carvalhaes, A.T. Costa and T.J.P. Penna, in International Journal of Modern Physics C (IJMPC) (1995)
Keywords: Neural Networks, Pattern Recognition, Fourier Transform

Neural networks. Editorial,
Patrice Gaubert, in European Journal of Economic and Social Systems (2004)
Keywords: Neural Network; Pseudo Panels; Financial Data

The Representation Theory of Neural Networks,
Marco Armenta and Pierre-Marc Jodoin, in Mathematics (2021)
Keywords: neural networks; quiver representations; data representations

'Simple' neural networks for forecasting,
Bruce Curry, in Omega (2004)
Keywords: Neural network Forecasting Perceptron Logistic Stability

Neural networks and bounded rationality,
Daniel Sgroi and Daniel Zizzo, in Physica A: Statistical Mechanics and its Applications (2007)
Keywords: Neural networks; Game theory; Bounded rationality; Learning;

Neural networks in financial trading,
Georgios Sermpinis, Andreas Karathanasopoulos, Rafael Rosillo and David Fuente, in Annals of Operations Research (2021)
Keywords: Neural networks, Forecasting, Trading, Multiple hypothesis testing

Testing the Smooth Driving of a Train Using a Neural Network,
Emilia Koper and Andrzej Kochan, in Sustainability (2020)
Keywords: driving smoothness; train neural emulator; neural networks

Wavelet Neural Network Model for Yield Spread Forecasting,
Firdous Ahmad Shah and Lokenath Debnath, in Mathematics (2017)
Keywords: wavelet; neural network; wavelet neural network (WNN); forecasting; yield spread

Structured Compression of Convolutional Neural Networks for Specialized Tasks,
Freddy Gabbay, Benjamin Salomon and Gil Shomron, in Mathematics (2022)
Keywords: machine learning; deep neural networks; convolutional neural network; structured compression

Discrete Mutation Hopfield Neural Network in Propositional Satisfiability,
Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor, Md Faisal Md Basir and Saratha Sathasivam, in Mathematics (2019)
Keywords: Mutation Hopfield Neural Network; Hopfield neural network; k -satisfiability

A COMPREHENSIVE APPROACH TO BITCOIN FORECASTING USING NEURAL NETWORKS,
Tea Šestanović, in Ekonomski pregled (2024)
Keywords: ARIMA; Bitcon; COVID-19; GARCH; Jordan neural network; neural network autoregression

Application of Chaotic Automata to Improve the Pattern Recognition Ability of Attractor Neural Networks,
M. Argollo de Menezes and T. J. P. Penna, in International Journal of Modern Physics C (IJMPC) (1998)
Keywords: Neural Networks, Cellular-Automata

An Insight Into the Standard Back-propagation Neural Network Model for Regression Analysis,
Wang Shouhong, in Omega (1998)
Keywords: neural networks regression prediction

Mean-field dynamics of sequence processing neural networks with finite connectivity,
W.K. Theumann, in Physica A: Statistical Mechanics and its Applications (2003)
Keywords: Neural networks; Sequence processing;

Using artificial neural networks to forecast chaotic time series,
Kenya Andrésia de Oliveira, Álvaro Vannucci and Elton Cesar da Silva, in Physica A: Statistical Mechanics and its Applications (2000)
Keywords: Neural networks; Predictions; Attractors;

Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks,
Andreas S. Andreou, George Zombanakis, E. F. Georgopoulos and S. D. Likothanassis, from University Library of Munich, Germany (1998)
Keywords: neural networks exchange rates

Forecasting Exchange Rates Using Neural Networks for Technical Trading Rules,
Philip Hans Franses and Kasper van Griensven, in Studies in Nonlinear Dynamics & Econometrics (1998)
Keywords: technical analysis, neural networks

Neuroet: An easy-to-use artificial neural network for ecological and biological modeling,
Peter A. Noble and Erik H. Tribou, in Ecological Modelling (2007)
Keywords: Neural network; Ecological Modelling;

Forecasting Unemployment Rate Using a Neural Network with Fuzzy Inference System,
George Atsalakis, Camelia Ucenic and Christos Skiadas, from University of Crete, Department of Economics (2008)
Keywords: forecasting, neural network, unemployment

ARTIFICIAL NEURAL NETWORKS AND BANKRUPTCY FORECASTING: A STATE OF THE ART,
Muriel Perez, from HAL (2006)
Keywords: Bankruptcy Forecasting,Neural Networks,Connexionism

Temperature dependence of phase and spike synchronization of neural networks,
R.C. Budzinski, B.R.R. Boaretto, T.L. Prado and S.R. Lopes, in Chaos, Solitons & Fractals (2019)
Keywords: Neural network; Synchronization; Nonlinear dynamics,;

Modeling of epilepsy based on chaotic artificial neural network,
Shirin Panahi, Zainab Aram, Sajad Jafari, Jun Ma and J.C. Sprott, in Chaos, Solitons & Fractals (2017)
Keywords: Neural network; Epilepsy; Chaos; Bifurcation;

A note on the identifiability of the conditional expectation for the mixtures of neural networks,
Jean-Pierre Stockis, Joseph Tadjuidje-Kamgaing and Jürgen Franke, in Statistics & Probability Letters (2008)
Keywords: Mixture models Neural networks Identifiability

Statistical properties of random asymmetrical neural networks,
E.N. Miranda, D.H. Zanette and D. Reidel, in Physica A: Statistical Mechanics and its Applications (1997)
Keywords: Neural networks; Nonequilibrium phase transitions;

Neural networks for large financial crashes forecast,
G. Rotundo, in Physica A: Statistical Mechanics and its Applications (2004)
Keywords: Large financial crashes; Neural networks;

Spontaneous synchronized bursting in 2D neural networks,
Ronen Segev and Eshel Ben-Jacob, in Physica A: Statistical Mechanics and its Applications (2001)
Keywords: Neural networks; Synchronized bursting; In vitro;

Fault diagnosis via local neural networks,
E.N. Skoundrianos and S.G. Tzafestas, in Mathematics and Computers in Simulation (MATCOM) (2002)
Keywords: Local neural networks; Fault diagnosis;

Inflation Forecasting in Pakistan using Artificial Neural Networks,
Adnan Haider and Muhammad Hanif, from University Library of Munich, Germany (2007)
Keywords: artificial neural network, forecasting, inflation

A neural network model to forecast and describe bond ratings,
B. Kamp, from Tilburg University, School of Economics and Management (1994)
Keywords: Neural Network; Bond Ratings; accountancy

NFL Prediction using Committees of Artificial Neural Networks,
David John A., Pasteur R. Drew, Ahmad M. Saif and Janning Michael C., in Journal of Quantitative Analysis in Sports (2011)
Keywords: artificial neural networks, NFL, prediction

Neural network gradient Hamiltonian Monte Carlo,
Lingge Li, Andrew Holbrook, Babak Shahbaba and Pierre Baldi, in Computational Statistics (2019)
Keywords: Bayesian inference, MCMC, Neural networks

Neural Network Models for Inflation Forecasting: An Appraisal,
Ali Choudhary and Adnan Haider, from School of Economics, University of Surrey (2008)
Keywords: Artificial Neural Networks; Forecasting; Inflation

A multiple testing procedure for neural network model selection,
Michele La Rocca and Cira Perna, from Society for Computational Economics (2006)
Keywords: Neural networks, resampling, model selection

BRAIN: Stata module to provide neural network,
Thorsten Doherr, from Boston College Department of Economics (2021)
Keywords: neural network, backpropagation, prediction, classification

Macroeconomic Indicator Forecasting with Deep Neural Networks,
Thomas Cook and Aaron Smalter Hall, from Federal Reserve Bank of Kansas City (2017)
Keywords: neural networks; Forecasting; Macroeconomic indicators

FUNDAMENTAL ANALYSIS WITH ARTIFICIAL NEURAL NETWORK,
Birol Yildiz and Ari Yezegel, in The International Journal of Business and Finance Research (2010)
Keywords: Fundamental Analysis, Stock Market, Neural Network

STORING PATTERNS IN HAMILTONIAN NEURAL NETWORKS,
Alexei B. Potapov and M. K. Ali, in International Journal of Modern Physics C (IJMPC) (2001)
Keywords: Hamiltonian System, Pattern Recognition, Neural Networks

A neural network model for sales analysis,
Florin Aparaschivei, in Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015) (2007)
Keywords: artificial neural networks, accounting, predictions, sales analysis

Using Neural Networks In Software Metrics,
Ion I. Bucur and Nicolae Begnescu, in Journal of Information Systems & Operations Management (2007)
Keywords: neural networks, software metrics, halstead, mccabe

NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORS,
Alessandro Campa, Paolo Del Giudice, Jean-Pierre Nadal and Nestor Parga, in International Journal of Modern Physics C (IJMPC) (1994)
Keywords: Neural Networks, Information Theory, Signal Analysis

An Analysis of the Applications of Neural Networks in Finance,
Adam Fadlalla and Chien-Hua Lin, in Interfaces (2001)
Keywords: DECISION ANALYSIS—APPLICATIONS, FINANCE—APPLICATIONS, NEURAL NETWORKS

Inertial Neural Networks with Unpredictable Oscillations,
Marat Akhmet, Madina Tleubergenova and Akylbek Zhamanshin, in Mathematics (2020)
Keywords: inertial neural networks; unpredictable oscillations; asymptotic stability

Storage capacity of the Hopfield neural network,
Jin-Cheng Zheng, Jian-Yong Chen, Jian-Wei Shuai, Shu-Hui Cai and Ren-zhi Wang, in Physica A: Statistical Mechanics and its Applications (1997)
Keywords: Neural network; Storage capacity; Normal distribution;

Neural Networks and Betting Strategies for Tennis,
Vincenzo Candila and Lucio Palazzo, in Risks (2020)
Keywords: forecasting; artificial neural networks; betting; tennis

Artificial Neural Networks in Finance Modelling,
Crescenzio Gallo, from University Library of Munich, Germany (2005)
Keywords: Artificial Neural Network, Financial Modelling, Customer Profiling

A Neural Networks approach to Minority Game,
Luca Grilli and Angelo Sfrecola, from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia (2005)
Keywords: Minority Game, Learning Algorithms, Neural Networks.

A Neural Networks approach to Minority Game,
Luca Grilli and Angelo Sfrecola, from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia (2009)
Keywords: Minority game; Learning algorithms; Neural networks.

Forecasting with artificial neural network models,
Gianluigi Rech, from Stockholm School of Economics (2002)
Keywords: Neural networks; forecasting; nonlinear time series

Neural networks as econometric tool,
Johan Kaashoek and Herman van Dijk, from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute (2000)
Keywords: Neural networks, Nonlinearity, Phillips curve, Time varying smooth transitions

Neural networks as econometric tool,
Johan Kaashoek and Herman van Dijk, from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute (2001)
Keywords: Exchange rates, Neural networks, Nonlinear dynamics, Phillips curve

Neural networks: a need for caution,
B. Curry and P. Morgan, in Omega (1997)
Keywords: neural network backpropagation polytope gradient descent and direct optimization

Predicting Inflation with Neural Networks,
Livia Paranhos, from University of Warwick, Department of Economics (2021)
Keywords: forecasting ; inflation ; neural networks ; deep learning ; LSTM model

Artificial Neural Networks,
Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos, from Springer (2009)
Keywords: Neural Network, Hide Layer, Output Layer, Input Layer, Hide Neuron

Artificial Neural Networks in Decision Support Systems,
Dursun Delen and Ramesh Sharda, from Springer (2008)
Keywords: Neural Network, Artificial Neural Network, Decision Support System, Artificial Neural Network Model, Associative Memory

Image dehazing using autoencoder convolutional neural network,
Richa Singh, Ashwani Kumar Dubey and Rajiv Kapoor, in International Journal of System Assurance Engineering and Management (2022)
Keywords: Convolutional neural network, Neural network, Deep neural network, Rectified linear unit, Autoencoder

A scale-free neural network for modelling neurogenesis,
Juan I. Perotti, Francisco A. Tamarit and Sergio A. Cannas, in Physica A: Statistical Mechanics and its Applications (2006)
Keywords: Neural networks; Scale-free networks; Strong dilution;

Topology and dynamics of attractor neural networks: The role of loopiness,
Pan Zhang and Yong Chen, in Physica A: Statistical Mechanics and its Applications (2008)
Keywords: Complex networks; Neural networks; Loopiness; Probability theory;

Neural Networks in the Educational Sector: Challenges and Opportunities,
Fiore Ugo, in Balkan Region Conference on Engineering and Business Education (2019)
Keywords: neural networks, recurring networks, learning paths

Neural Networks in the Educational Sector: Challenges and Opportunities,
Fiore Ugo, in Balkan Region Conference on Engineering and Business Education (2019)
Keywords: neural networks, recurring networks, learning paths

Neural networks and some applications to finance,
K. Feldman and J. Kingdon, in Applied Mathematical Finance (1995)
Keywords: neural networks, multi-layer perceptrons, Kohonen networks, backpropagation, finance,

Neural Architecture Search for Lightweight Neural Network in Food Recognition,
Ren Zhang Tan, XinYing Chew and Khai Wah Khaw, in Mathematics (2021)
Keywords: deep learning; reinforcement learning; Convolutional Neural Network; Neural Architecture Search

Neural coding in networks of multi-populations of neural oscillators,
Rubin Wang, Zhikang Zhang, Chi Tse, Jingyi Qu and Jianting Cao, in Mathematics and Computers in Simulation (MATCOM) (2012)
Keywords: Biological neural networks; Phase coding; Rhythm coding; Perceptive neuron; Inter-neuron; Motor neuron; Population of neural oscillators;

Mathematical Expressiveness of Graph Neural Networks,
Guillaume Lachaud, Patricia Conde-Cespedes and Maria Trocan, in Mathematics (2022)
Keywords: graph neural networks; message passing neural networks; expressiveness; Weisfeiler–Leman algorithm

Optimizing Convolutional Neural Network Architectures,
Luis Balderas, Miguel Lastra and José M. Benítez, in Mathematics (2024)
Keywords: convolutional neural network simplification; neural network pruning; efficient machine learning; Green AI

Artificial Neural Networks Based SRGM,
P. K. Kapur, H. Pham, A. Gupta and P. C. Jha, from Springer (2011)
Keywords: Neural Network, Artificial Neural Network, Hide Layer, Activation Function, Output Layer

All-terminal network reliability estimation using convolutional neural networks,
Alex Davila-Frias and Om Prakash Yadav, in Journal of Risk and Reliability (2022)
Keywords: All-terminal; network reliability; convolutional neural networks

Neural Network Optimization Based on Complex Network Theory: A Survey,
Daewon Chung and Insoo Sohn, in Mathematics (2023)
Keywords: complex networks; neural networks; network robustness; optimization methods; network attack

Comparative characteristics of the ability of convolutional neural networks to the concept of transfer learning,
Vladimir Khotsyanovsky, in Technology audit and production reserves (2022)
Keywords: neural networks, transfer learning, convolutional neural networks, computer resources

Compression of Neural Networks for Specialized Tasks via Value Locality,
Freddy Gabbay and Gil Shomron, in Mathematics (2021)
Keywords: machine learning; deep neural networks; convolutional neural network; deep compression

Emotional Speaker Verification Using Novel Modified Capsule Neural Network,
Ali Bou Nassif, Ismail Shahin, Nawel Nemmour, Noor Hindawi and Ashraf Elnagar, in Mathematics (2023)
Keywords: capsule neural networks; deep neural network; speaker verification

Sperm Abnormality Detection Using Sequential Deep Neural Network,
Suleman Shahzad, Muhammad Ilyas, M. Ikram Ullah Lali, Hafiz Tayyab Rauf, Seifedine Kadry and Emad Abouel Nasr, in Mathematics (2023)
Keywords: neural networks; sperm abnormality; sequential deep neural network; fertility prediction