See this document in CiteSeerX!

Computational Complexity Of Neural Networks: A Survey (1995)  (Make Corrections)  (7 citations)
Pekka Orponen
Nordic Journal of Computing



  Home/Search   Context   Related

 
View or download:
math.jyu.fi/~orponen/papers...nncomp.ps
cs.helsinki.fi/pub...ks:_a_survey.ps.gz
cs.helsinki.fi/TR/O/O19945.ps.gz
Cached:  PS.gz  PS  PDF   Image  Update  Help
Problem Downloading?
From:  math.jyu.fi/~orpon...publications (more)
From:  cs.helsinki.fi/resear...abstracts
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: . We survey some of the central results in the complexity theory of discrete neural networks, with pointers to the literature. Our main emphasis is on the computational power of various acyclic and cyclic network models, but we also discuss briefly the complexity aspects of synthesizing networks from examples of their behavior. CR Classification: F.1.1 [Computation by Abstract Devices]: Models of Computation---neural networks, circuits; F.1.3 [Computation by Abstract Devices ]: Complexity... (Update)

Context of citations to this paper:   More

.... Alur et al. 1995] hybrid systems) Bournez and Cosnard, 1996] Moore, 1998] Turing machine as dynamical systems) and [Orponen, 1994] (recurrent neural networks) Some open problems related to the computational complexity of control questions are proposed in...

.... networks has intimate connections to the classical theory of Boolean circuit complexity [53] and is surveyed brie y in the articles [36, 40], and at greater depth in the books [41, 43, 52] 2. BASIC NOTIONS AND RESULTS With the brief exception of Section 6 on continuous time...

Cited by:   More
Energy-Based Computation with Symmetric Hopfield Nets - Sima   (Correct)
A Computational Taxonomy and Survey of Neural Network Models - Sima, Orponen (2001)   (Correct)
The Computational Theory of Neural Networks - Sima (2000)   (Correct)

Similar documents (at the sentence level):
45.1%:   Neural Networks and Complexity Theory - Orponen (1992)   (Correct)

Active bibliography (related documents):   More   All
5.4:   Computational Complexity Of Neural Networks: A Survey - Orponen (1994)   (Correct)
3.1:   Complexity Issues in Discrete Hopfield Networks - Floréen, Orponen   (Correct)
1.0:   Computing with Truly Asynchronous Threshold Logic Networks - Orponen (1995)   (Correct)

Similar documents based on text:   More   All
0.3:   A New Heuristic for Placing Absolute P-Centers on a Cyclic.. - Damle Sule Department   (Correct)
0.1:   Efficient Algorithms for Sampling and Clustering of Large.. - Orponen, Schaeffer   (Correct)
0.1:   Optimisation, block designs and No Free Lunch theorems - Griffiths, Orponen   (Correct)

Related documents from co-citation:   More   All
6:   Circuit Complexity and Neural Networks (context) - Parberry - 1994
6:   Analog computation via neural networks - Siegelmann, Sontag - 1994
5:   A primer on the complexity theory of neural networks (context) - Parberry - 1990

BibTeX entry:   (Update)

Orponen, P. Computational complexity of neural networks: A survey. Nordic Journal of Computing 1 (1994), 94--110. http://citeseer.ist.psu.edu/article/orponen95computational.html   More

@article{ orponen94computational,
    author = "Pekka Orponen",
    title = "Computational complexity of neural networks: a survey",
    journal = "Nordic Journal of Computing",
    volume = "1",
    number = "1",
    month = "Spring",
    pages = "94--110",
    year = "1994",
    url = "citeseer.ist.psu.edu/article/orponen95computational.html" }
Citations (may not include all citations):
1491   Learning internal representations by error propagation (context) - Rumelhart, Hinton et al.  ACM
1056   Introduction to the Theory of Neural Computation (context) - Hertz, Krogh et al. - 1991  ACM
717   Theory of Linear and Integer Programming (context) - Schrijver - 1986  ACM
700   Self-Organization and Associative Memory (context) - Kohonen - 1989
653   Neural networks and physical systems with emergent collectiv.. (context) - Hopfield - 1982  ACM
625   Parallel Distributed Processing: Explorations in the Microst.. (context) - McClelland, Rumelhart - 1986
625   Parallel Distributed Processing: Explorations in the Microst.. (context) - Rumelhart, McClelland - 1986
357   Approximation by superposition of a sigmoidal function (context) - Cybenko - 1989
291   A logical calculus of the ideas immanent in nervous activity (context) - McCulloch, Pitts - 1943  ACM
254   Neural computation of decisions in optimization problems (context) - Hopfield, Tank - 1985
235   the approximate realization of continuous mappings by neural.. (context) - Funahashi - 1989
228   Simulated Annealing and Boltzmann Machines (context) - Aarts, Korst - 1989
223   The Organization of Behavior (context) - Hebb - 1949  ACM
202   The Complexity of Boolean Functions - Wegener - 1987  ACM
192   Representation of events in nerve nets and finite automata (context) - Kleene - 1956
177   Computation: Finite and Infinite Machines (context) - Minsky - 1967
167   Structural Complexity (context) - Balc'azar, D'iaz et al. - 1988
138   Learning and relearning in Boltzmann machines (context) - Hinton, Sejnowski
115   Separating the polynomial-time hierarchy by oracles (context) - Yao - 1985
105   the computational power of neural nets - Siegelmann, Sontag - 1992
103   Almost optimal lower bounds for small depth circuits - Hastad - 1989  ACM   DBLP
102   Neurocomputing: Foundations of Research (context) - Anderson, Rosenfeld - 1988  ACM
101   Threshold Logic and Its Applications (context) - Muroga - 1971
90   Neural Network Design and the Complexity of Learning (context) - Judd - 1990  ACM
75   and the polynomial-time hierarchy (context) - Furst, Saxe et al. - 1984
64   Feedforward nets for interpolation and classification (context) - Sontag - 1992  ACM   DBLP
53   The capacity of the Hopfield associative memory (context) - McEliece, Posner et al. - 1987  ACM
51   On threshold circuits and polynomial computation - Reif, Tate - 1992  ACM   DBLP
44   Bounds for the computational power and learning complexity o.. - Maass - 1993  ACM   DBLP
37   Efficient simulation of finite automata by neural nets (context) - Alon, Dewdney et al. - 1991  ACM   DBLP
37   general weighted threshold gates (context) - Goldmann, Hastad et al. - 1992
36   the computational power of sigmoid versus Boolean threshold .. (context) - Maass, Schnitger et al. - 1991
34   Storing infinite numbers of patterns in a spin-glass model o.. (context) - Amit, Gutfreund et al. - 1985
32   the size of weights for threshold gates - Hastad
31   the power of threshold circuits with small weights (context) - Siu, Bruck - 1991
29   Circuit Complexity and Neural Networks (context) - Parberry - 1994  ACM
29   Complexity results on learning by neural nets - Lin, Vitter - 1991  ACM   DBLP
28   Correlation matrix memories (context) - Kohonen - 1972  ACM
27   Neural computation of arithmetic functions (context) - Siu, Bruck - 1990
26   A primer on the complexity theory of neural networks (context) - Parberry - 1990
26   Decreasing energy functions as a tool for studying threshold.. (context) - Goles, Fogelman et al. - 1985
25   Collective computational properties of neural networks: New .. (context) - Personnaz, Guyon et al. - 1986
25   On Connectionist Models of Natural Language Processing (context) - Pollack - 1987
23   the complexity of loading shallow neural networks (context) - Judd - 1988
23   The power of approximating: A comparison of activation funct.. - DasGupta, Schnitger - 1993
23   Recursive Neural Networks for Associative Memory (context) - Kamp, Hasler - 1990  ACM
22   Neural computability (context) - Franklin, Garzon - 1990
22   Simple local search problems that are hard to solve (context) - Schaffer, Yannakakis - 1991  ACM   DBLP
22   Exponential transient classes of symmetric neural networks f.. (context) - Goles, Mart'inez - 1989
21   the stability of the travelling salesman problem algorithm o.. (context) - Wilson, Pawley - 1988
19   A simple neural network generating an interactive memory (context) - Anderson - 1972  ACM
19   Simulating threshold circuits by majority circuits - Goldmann, Karpinski - 1993  ACM   DBLP
17   A comparison of the computational power of neural networks (context) - Hartley, Szu - 1987
16   Computational power for networks of threshold devices in an .. (context) - Lepley, Miller - 1983
16   the size of weights required for linear-input switching func.. (context) - Myhill, Kautz - 1961
16   Transient length in sequential iterations of threshold funct.. (context) - Fogelman, Goles et al. - 1983
15   Steepest descent can take exponential time for symmetric con.. (context) - Haken, Luby - 1988  ACM
15   Neural and Automata Networks (context) - Goles, Mart'inez - 1990
14   Representation of associated data by matrix operations (context) - Kohonen, Ruohonen - 1973
13   Neurocomputing 2: Directions for Research (context) - Anderson, Pellionisz et al. - 1990
13   On characterizations of the class PSPACE/poly (context) - Balc'azar, D'iaz et al. - 1987  ACM   DBLP
12   Theory of majority decision elements (context) - Muroga, Toda et al. - 1961
12   The convergence of symmetric threshold automata (context) - Goles, Olivos - 1981  DBLP
12   the power of small-depth threshold circuits (context) - Hastad, Goldmann - 1991
12   the Computational Complexity of Finding Stable State Vectors.. (context) - Godbeer, Lipscomb et al. - 1988
12   Connectionist networks that need exponential time to stabili.. (context) - Haken - 1989
11   Complexity issues in discrete neurocomputing (context) - Wiedermann - 1990  ACM   DBLP
11   the convergence properties of the Hopfield model (context) - Bruck - 1990
11   Associatron --- a model of associative memory (context) - Nakano - 1972
10   lower bounds on the size of depth-3 threshold circuits with .. - Razborov, Wigderson et al. - 1993
10   Neural computability II (context) - Garzon, Franklin - 1989
10   Relating Boltzmann machines to conventional models of comput.. (context) - Parberry, Schnitger - 1989  ACM   DBLP
9   Learning in threshold networks (context) - Raghavan - 1988  ACM   DBLP
9   Automata Networks in Computer Science: Theory and Applicatio.. (context) - Fogelman, Robert et al. - 1987  ACM
8   The Computational and Learning Complexity of Neural Networks.. (context) - Parberry
7   Stability and looping in connectionist models with asymmetri.. (context) - Porat - 1989
7   the computational power of discrete Hopfield nets - Orponen - 1993
6   Asynchronous threshold networks (context) - Alon - 1985
6   the capacity of associative memories with linear threshold f.. (context) - Dembo - 1989
6   Pure and Applied Math (context) - Hong - 1988
5   the computational complexity of analyzing Hopfield nets (context) - Flor'een, Orponen - 1989
5   Global dynamics in neural networks (context) - Franklin, Garzon - 1989
4   A geometric approach to threshold circuit complexity (context) - Roychowdhury, Siu et al. - 1991  ACM   DBLP
4   Linear and logarithmic capacities in associative neural netw.. (context) - Venkatesh, Psaltis - 1989
4   Center for Research in Parallel and Distributed Computing (context) - Parberry, Complexity - 1991
4   Information capacity of associative memories (context) - Kuh, Dickinson - 1989
4   Analog neural networks of limited precision I: Computing wit.. (context) - Obradovic, Parberry - 1990  DBLP
3   Multilayer feedforward nets are universal approximators (context) - Hornik, Stinchcombe et al. - 1989
3   Training a 3-node neural network in NP-complete (context) - Blum, Rivest - 1992  ACM
3   Global dynamics in neural nets II (context) - Garzon, Franklin - 1989
2   Priciples of Neurodynamics (context) - Rosenblatt - 1962
1   Optimal depth neural networks for multiplication and related.. (context) - Siu, Roychowdhury - 1993  ACM   DBLP
1   Attraction radii in binary Hopfield nets are hard to compute (context) - Flor'een, Orponen - 1993



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www.math.jyu.fi/~orponen/publications.html):   More
Computing with Truly Asynchronous Threshold Logic Networks - Orponen (1995)   (Correct)
A Survey of Continuous-Time Computation Theory - Orponen (1997)   (Correct)
Programming the Harmonium - Myllymäki, Orponen (1991)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC