Flow diagrams of the quadratic neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 129-134

  Dominguez, David R C ^a   Korutcheva, E ^b,d   Theumann, W K ^c   Erichsen Jr , R ^c  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^d BULGARIAN ACADEMY OF SCIENCES   (Bulgaria)

Author keywords

[No Author keywords available]

Indexed keywords

MEAN FIELD THEORY; NEURAL NETWORKS; NEURONS;

BASINS OF ATTRACTION; FLOW DIAGRAM; MACROSCOPIC DYNAMICS; MUTUAL INFORMATIONS; NEURAL ACTIVITY; STATIONARY STATE; SYNAPTIC NOISE; HEIDELBERG;

PATTERN RECOGNITION;

EID: 84902207396     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_22     Document Type: Conference Paper

References (5)

1. D.Dominguez and E.Korutcheva, Three-state neural network: From mutual Information to the Hamiltonian. Phys.Rev.E 62(2), (2000) 2620-2628.
2. C.E.Shannon, A Mathematical Theory of Communication, The Bell System Technical Journal, 27, (1948).
3. R.E.Blahut, Principles and Practice of Information Theory, Addison-Wesley, Reading, MA, (1990), Chapter 5.
4. D.Dominguez and D.Bollé, Self-control in Sparsely Coded Networks. Phys.Rev.Lett. 80(13), (1998) 2961-2964.
5. D.Bollé, D.Dominguez and S.Amari, Mutual Information of Sparsely-Coded Associative Memory with Self-Control and Ternary Neurons. Neural Networks 13(4-5), (2000) 455-462.