Ideally, choose a paper that is in an area related to one in which you wish to do your final project. The hope is that reading the paper will help you launch your project.

Bracketed names after the number designate papers that are already chosen.

The papers have varying lengths. Not all papers are self-contained, and you may need to chase other references to get an understanding of the message.

If you want to suggest an alternate paper, please ask.

For most papers, click on the title. If a link doesn_t work, try googling on the title for an alternate source. If you still can_t find what you need, ask me, as I have downloaded every paper here.

When you have decided, send me an email with the author_s name (not the number, because I may add to this list) to reserve the paper. Refer to this site again for papers not chosen.

Albus, J.S. (1975). "New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)".

Ajantha S. Atukorale and P. N. Suganthan (2000). Hierarchical overlapped neural gas network with application to pattern classification.

[Colin O_Byrne] Bram Bakker (1997). Reinforcement Learning with Long Short-Term Memory

Arpad Barsi Object Detection Using Self Organization

Cheolhwan Oh, Stanislaw H. Żak, and Stefen Hui (1993). The Generalized Brain-State-in-a-Box (gBSB) Neural Network: Model, Analysis, and Applications

Leon O. Chua and Lin Yang (1988). Cellular Neural Networks: Theory

[Austin Quan] DeMarse TB, Wagenaar DA, Blau AW, Potter SM (2001). "The Neurally Controlled Animat: Biological Brains Acting with Simulated Bodies". Autonomous Robots 11: 305_310.

[Jory Schossau] Jeffrey L. Elman (1990) Finding structure in time.

Nubuo Funabiki , Yoshiyasu Takefuji and Kuo-Chun Lee (1992). A neural network model for finding a near-maximum clique

[Calvin Loncaric] Vinh Phuong Ha (2008). Texture Detection using Neural Networks Trained on Positive-Only Examples

Sang-Jun Han and Sung-Bae Cho (2006). Evolutionary Neural Networks for Anomaly Detection Based on the Behavior of a Program

S. Hochreiter and J. Schmidhuber (1997). Long short-term memory. Neural Computation, 9(8):1735_1780, 1997.

[Alejandro Lopez-Lago] Lars Kindermann1, Achim Lewandowski, Peter Protzel (2001). A framework for solving functional equations with neural networks.

C. Kwan, D.M. Dawson and F.L. Lewis (2001). ROBUST ADAPTIVE CONTROL OF ROBOTS USING NEURAL NETWORK: GLOBAL STABILITY

[Audrey Lawrence] Steve Lawrence, C. Lee Giles, Ah Chung Tsoi , Andrew D. Back. Face Recognition: A Convolutional Neural Network Approach

[Becky Green] Auranuch Lorsakul and Jackrit Suthakorn (2007). Traffic Sign Recognition for Intelligent Vehicle/Driver Assistance System Using Neural Network on OpenCV.

[Singer Ma] Peter J. Mccann , Barry L. Kalman. A Neural Network Model for the Gold Market

Erzsebet Merenyi and Thomas Villmann. Self-Organizing Neural Network Approaches for Hyperspectral Images.

Hamid Kiavarz Moghaddam, Farhad Samadzadegan (2009). Urban simulation Using Neural Networks and Cellular Automata for Land Use Planning

[Max Kukartsev] Predrag Neskovic and Leon S. Cooper. Neural network based context driven recognition of on-line cursive script.

Eric A. Plummer (200). TIME SERIES FORECASTING WITH FEED-FORWARD NEURAL NETWORKS: GUIDELINES AND LIMITATIONS

[Tselil Schramm] Nicholas J. Radcliffe (1993). Genetic Set Recombination and its Application to Neural Network Topology Optimisation. Appears in "Neural Computing and Applications", Springer-Verlag, 1:1, pp67-90, 1993.

Ruslan Salakhutdinov, Geoffrey Hinton. Deep Boltzmann Machines

Jurgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino Gomez. (2007)Training Recurrent Networks by Evolino.

Kenneth O. Stanley and Risto Miikkulainen (2002). Efficient Evolution of Neural Network Topologies. Proceedings of the 2002 Congress on Evolutionary Computation (CEC _02).

P. N. Suganthan (2009). Hierarchical Overlapped SOM_s for Pattern Classification, IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 10, NO. 1, JANUARY 1999

Thomas P. Trappenberg (2003). Continuous Attractor Neural Networks

Michael L. Traver, Richard J. Atkinson and Christopher M. Atkinson (1992). Neural Network-Based Diesel Engine Emissions Prediction Using In-Cylinder Combustion Pressure

[Daniel Lubarov] Shee Q. Wong, Nik R. Hassan, and Ehsan H. Feroz (2007). The Equity Premium Puzzle: An Artificial Neural Network Approach

[Sonja Bohr] Liu Shaohui , Yao Hongxun, Gao Wen (2003). NEURAL NETWORK BASED STEGANALYSIS IN STILL IMAGES

[Steven Watanabe] Wei Zhang and Thomas G. Dietterich (1995). High-Performance Job-Shop Scheduling With A Time-Delay TD() Network

[Eric Mullen] A. N. Gorban, A. Y. Zinovyev (2008). Principal Graphs and Manifolds

[Cullen MacMahon] Wen Yu, Xiaoou Li (2007). Recurrent fuzzy neural networks for nonlinear system identification

[Jeffrey Burkert] Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski Temporal Difference Learning of Position Evaluation in the Game of Go