{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T11:10:35Z","timestamp":1682939435683},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[1990,4,1]],"date-time":"1990-04-01T00:00:00Z","timestamp":638928000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J VLSI Sign Process Syst Sign Image Video Technol"],"published-print":{"date-parts":[[1990,4]]},"DOI":"10.1007\/bf00929928","type":"journal-article","created":{"date-parts":[[2005,1,2]],"date-time":"2005-01-02T18:33:47Z","timestamp":1104690827000},"page":"367-385","source":"Crossref","is-referenced-by-count":2,"title":["Scalable VLSI implementations for neural networks"],"prefix":"10.1007","volume":"1","author":[{"given":"D.","family":"van den Bout","sequence":"first","affiliation":[]},{"given":"P.","family":"Franzon","sequence":"additional","affiliation":[]},{"given":"J.","family":"Paulos","sequence":"additional","affiliation":[]},{"given":"T.","family":"Miller","sequence":"additional","affiliation":[]},{"given":"W.","family":"Snyder","sequence":"additional","affiliation":[]},{"given":"T.","family":"Nagle","sequence":"additional","affiliation":[]},{"given":"W.","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[1990,4,1]]},"reference":[{"key":"BF00929928_CR1","doi-asserted-by":"crossref","unstructured":"R. Lippmann, \u201cAn introduction to computing with neural nets,\u201dIEEE ASSP Magazine, April 1987, pp. 4\u201322.","DOI":"10.1109\/MASSP.1987.1165576"},{"key":"BF00929928_CR2","unstructured":"P. Werbos,Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences, PhD thesis, Harvard, November 1974."},{"key":"BF00929928_CR3","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/BF00339943","volume":"52","author":"J. Hopfield","year":"1985","unstructured":"J. Hopfield and D. Tank, \u201cNeural computations of decisions in optimization problems,\u201dBiological Cybernetics, vol. 52, 1985, pp. 141\u2013152.","journal-title":"Biological Cybernetics"},{"key":"BF00929928_CR4","doi-asserted-by":"crossref","unstructured":"P.W. Hollis and J.J. Paulos, \u201cThe effects of precision constraints in a back-propagation learning network,\u201dIEEE International Joint Conference on Neural Networks, Washington, DC. 1989.","DOI":"10.1109\/IJCNN.1989.118519"},{"key":"BF00929928_CR5","unstructured":"J. Raffel, J. Mann, R. Berger, A. Soares, and S. Gilbert, \u201cA generic architecture for wafer-scale neuromorphic systems,\u201dProceedings of the IEEE International Conference on Neural Networks, 1987."},{"key":"BF00929928_CR6","unstructured":"J. Bailey, \u201cA VLSI interconnect structure for neural networks,\u201c Technical Report CS\/E-88027, Oregon Graduate Center, August 1988."},{"key":"BF00929928_CR7","unstructured":"P.D. Franzon,Fault tolerance on VLSI, PhD thesis, University of Adelaide, December 1988."},{"key":"BF00929928_CR8","unstructured":"M. Franzini, \u201cSpeech recognition with back propagation,\u201dProceedings of the Ninth Annual Conference on Engineering in Medicine and Biology Soc., 1987, pp. 1702\u20131703."},{"key":"BF00929928_CR9","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/0893-6080(88)90023-8","volume":"1","author":"R. Gorman","year":"1988","unstructured":"R. Gorman and T. Sejnowski, \u201cAnalysis of hidden units in a layered network trained to classify sonar targets,\u201dNeural Networks, vol. 1, 1988, pp. 75\u201390.","journal-title":"Neural Networks"},{"key":"BF00929928_CR10","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/5236.001.0001","volume-title":"Parallel Distributed Processing: Explorations in the Microstructure of Cognition","author":"D. Rumelhart","year":"1986","unstructured":"D. Rumelhart, G. Hinton, and R. Williams, \u201cLearning Internal Representations by Error Propagation,\u201dParallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1, Cambridge, MA.: MIT Press, 1986."},{"key":"BF00929928_CR11","unstructured":"J. Alspector and R. Allen, \u201cA neuromorphic VLSI learning system\u201d,Proceedings of the 1987 Stanford Conference: Advanced Research in VLSI, 1987, pp. 313\u2013349."},{"key":"BF00929928_CR12","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1063\/1.36248","volume":"151","author":"H. Graf","year":"1986","unstructured":"H. Graf, L. Jackel, R. Howard, B. Straughn, J. Denker, W. Hubbard, D. Tennant, and D. Schwartz, \u201cVLSI implementation of a neural network memory with several hundreds of neurons\u201d,American Institute of Physics Conference Proceedings No. 151, 1986, pp. 414\u2013419.","journal-title":"American Institute of Physics Conference Proceedings"},{"key":"BF00929928_CR13","doi-asserted-by":"crossref","unstructured":"J.J. Paulos and P.W. Hollis, \u201cNeural networks using analog multipliers\u201d,Proceedings of the IEEE International Conference on Circuits and Systems, Helsinki, Finland, 1988, pp. 499\u2013502.","DOI":"10.1109\/ISCAS.1988.14973"},{"key":"BF00929928_CR14","unstructured":"F. Kub, I. Mack, K. Moon, C. Yao, and J. Modolo, \u201cProgrammable analog synapses for microelectronic neural networks using a hybrid digital-analog approach\u201d,Proceedings of the IEEE International Conference on Neural Networks, 1988."},{"key":"BF00929928_CR15","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/2.31","volume":"21","author":"J. Hutchinson","year":"1988","unstructured":"J. Hutchinson, C. Koch, and C. Mead, \u201cComputing motion using analog and binary resistive networks\u201d,Computer, vol. 21, March 1988, pp. 52\u201363.","journal-title":"Computer"},{"key":"BF00929928_CR16","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1063\/1.36243","volume":"151","author":"J. Sage","year":"1986","unstructured":"J. Sage, K. Thompson, and R. Withers, \u201cAn artificial neural network integrated circuit based on MNOS\/CCD principles\u201d,American Institute of Physics Conference Proceedings, No. 151, 1986, pp. 381\u2013385.","journal-title":"American Institute of Physics Conference Proceedings"},{"key":"BF00929928_CR17","unstructured":"P.W. Hollis and J.J. Paulos, \u201cArtificial neurons using analog multipliers\u201d,IEEE International Conference on Neural Networks, San Diego, CA, 1988."},{"key":"BF00929928_CR18","doi-asserted-by":"crossref","unstructured":"J.J. Paulos and P.W. Hollis, \u201cA VLSI architecture for feed-forward networks with integral back-propagation\u201d,Annual Meeting of the International Neural Network Society, Boston, MA. 1988.","DOI":"10.1016\/0893-6080(88)90425-X"},{"key":"BF00929928_CR19","unstructured":"A. Waibel, H. Sawai, and C.S. Hughes, \u201cModularity and scaling in large phonemic neural networks,\u201d Technical Report TR-I-0034, ATR Interpretations Telephony Research Laboratories, August 5, 1988."},{"key":"BF00929928_CR20","volume-title":"Advances in Information Systems Science","author":"B. Gains","year":"1969","unstructured":"B. Gains, \u201cStochastic computing systems,\u201dAdvances in Information Systems Science. New York: Plenum Press, 1969."},{"key":"BF00929928_CR21","unstructured":"B. Gaines, \u201cUncertainty as a foundation of computational power in neural networks,\u201dProceedings of the IEEE International Conference on Neural Networks, 1987, pp. III:51\u2013III:57."},{"key":"BF00929928_CR22","volume-title":"IEE Digital Electronics and Computing Series","author":"P. Mars","year":"1981","unstructured":"P. Mars and W. Poppelbaum,Stochastic and Deterministic Averaging Processors, IEE Digital Electronics and Computing Series. New York: P. Peregrinus, 1981."},{"key":"BF00929928_CR23","unstructured":"A. Agranat and A. Yariv, \u201cA new architecture for a microelectronic implementation of neural network models,\u201dProceedings of the IEEE International Conference on Neural Networks, 1987, III:403\u2013III:410."},{"key":"BF00929928_CR24","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1109\/TCS.1986.1085953","volume":"33","author":"J. Hopfield","year":"1986","unstructured":"J. Hopfield and D. Tank, \u201cSimple neural optimization networks: An A\/D converter, signal decision circuit, and a linear programming circuit,\u201dIEEE Transactions on Circuits and Systems, vol. 33, May 1986, pp. 533\u2013541.","journal-title":"IEEE Transactions on Circuits and Systems"},{"key":"BF00929928_CR25","first-page":"91","volume-title":"Advances in Neural Information Processing Systems","author":"G. Bilbro","year":"1989","unstructured":"G. Bilbro, R. Mann, T. Miller III, W. Snyder, D.E. Van den Bout, and M. White, \u201cMean field annealing and neural networks,\u201dAdvances in Neural Information Processing Systems, San Mateo, CA: Morgan-Kaufmann Publishers, 1989, pp. 91\u201398."},{"key":"BF00929928_CR26","doi-asserted-by":"crossref","unstructured":"D.E. Van den Bout and T.K. Miller III, \u201cGraph partitioning using annealed neural networks,\u201dProceedings of the IEEE International Conference of Neural Networks, 1989, pp. I:521\u2013I:528.","DOI":"10.1109\/IJCNN.1989.118628"},{"key":"BF00929928_CR27","doi-asserted-by":"crossref","unstructured":"D.E. Van den Bout and T.K. Miller III, \u201cImproving the performance of the Hopfield-Tank neural network through normalization and annealing,\u201d Accepted for publication inBiological Cybernetics, 1989.","DOI":"10.1007\/BF00203001"},{"key":"BF00929928_CR28","unstructured":"D. Van den Bout, T.K. Miller III, and Don Gage, \u201cImage halftoning using mean field annealing,\u201d Technical Report CCSP-TR-27\/88, NCSU Center for Communications and Signal Processing, October 1988."},{"key":"BF00929928_CR29","doi-asserted-by":"crossref","unstructured":"D.E. Van den Bout and T.K. Miller III, \u201cA stochastic architecture for neural nets,\u201dProceedings of the IEEE International Conference on Neural Networks, 1988, pp. I:481\u2013I:488.","DOI":"10.1109\/ICNN.1988.23882"},{"key":"BF00929928_CR30","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1109\/31.31321","volume":"36","author":"D.E. Bout Van den","year":"1989","unstructured":"D.E. Van den Bout and T.K. Miller III, \u201cA digital architecture employing stochasticism for the simulation of Hopfield neural nets,\u201dIEEE Transactions on Circuits and Systems, vol. 36, May 1989, pp. 732\u2013738.","journal-title":"IEEE Transactions on Circuits and Systems"},{"key":"BF00929928_CR31","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/0743-7315(84)90010-8","volume":"1","author":"H.T. Kung","year":"1984","unstructured":"H.T. Kung and M.S. Lam, \u201cWafer-scale integration and two level pipelined implementation of systolic arrays,\u201dJ. Parallel and Distributed Computing, vol. 1, 1984 pp. 32\u201364.","journal-title":"J. Parallel and Distributed Computing"},{"key":"BF00929928_CR32","doi-asserted-by":"crossref","unstructured":"S.K. Tewksbury, M. Hatamian, P. Franzon, Jr., L.A. Hornak, C.A. Siller, and V.B. Lawrence, \u201cFIR filters for high-sample rate applications,\u201dIEEE Communications, July 1987.","DOI":"10.1109\/MCOM.1987.1093656"},{"key":"BF00929928_CR33","unstructured":"Lincoln Laboratory, \u201cDARPA neural network study\u2014executive summary,\u201d July 8, 1988."},{"key":"BF00929928_CR34","doi-asserted-by":"crossref","unstructured":"D. Van den Bout and T.K. Miller III, \u201cTInMANN: The integer Markovian artificial neural network,\u201dProceedings of the IEEE International Conference on Neural Networks, 1989, pp. II:205\u2013II:211, 1989.","DOI":"10.1109\/IJCNN.1989.118700"},{"key":"BF00929928_CR35","doi-asserted-by":"crossref","unstructured":"D. Van den Bout and T.K. Miller III, \u201cTInMANN: The integer Markovian artificial neural network,\u201dJournal of Parallel and Distributed Computing, 1989.","DOI":"10.1109\/IJCNN.1989.118700"},{"key":"BF00929928_CR36","doi-asserted-by":"crossref","unstructured":"R. Holdaway, \u201cEnhancing supervised learning algorithms via self-organization,\u201dProceedings of the IEEE International Joint Conference on Neural Networks, 1989","DOI":"10.1109\/IJCNN.1989.118293"}],"container-title":["Journal of VLSI signal processing systems for signal, image and video technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF00929928.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/BF00929928\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF00929928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T10:37:14Z","timestamp":1682937434000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/BF00929928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1990,4]]},"references-count":36,"journal-issue":{"issue":"4","published-print":{"date-parts":[[1990,4]]}},"alternative-id":["BF00929928"],"URL":"https:\/\/doi.org\/10.1007\/bf00929928","relation":{},"ISSN":["0922-5773"],"issn-type":[{"value":"0922-5773","type":"print"}],"subject":[],"published":{"date-parts":[[1990,4]]}}}