*  Behaviour-Based Clustering of Neural Networks: Computer Science & IT Book Chapter | IGI Global
Behaviour-Based Clustering of Neural Networks: 10.4018/978-1-59904-849-9.ch036: The field of off-line optical character ... for a review of image processing with neural networks). One advantage of neural network filters for image enhancement and ... a neural network was trained. With the trained network, the entire image was cleaned by scanning all the pixels with the MLP. ... "Behaviour-Based Clustering of Neural Networks." In Encyclopedia of Artificial Intelligence, ed. Juan Ramón Rabuñal Dopico, ...
  https://www.igi-global.com/chapter/behaviour-based-clustering-neural-networks/10253
*  Neural networks for automatic fuzzy control system design | SpringerLink
Part of the Lecture Notes in Computer Science book series (LNCS, volume 930) ... "Identification and control of dynamical system using neural networks". IEEE Transactions on Neural Networks, March 1990, vol. 1 ... Neural networks for automatic fuzzy control system design. In: Mira J., Sandoval F. (eds) From Natural to Artificial Neural ... The Neural Network which models the inverse process, is used again to obtain a set of tuples representing the fuzzy variables ...
  https://link.springer.com/chapter/10.1007/3-540-59497-3_289
*  Frontiers | Optimal Control Based Stiffness Identification of an Ankle-Foot Orthosis Using a Predictive Walking Model |...
The solution of this problem is physically consistent synthetic neural excitation commands, muscle activations and whole body ... The solution of this problem is physically consistent synthetic neural excitation commands, muscle activations and whole body ... Neural network control of functional neuromuscular stimulation systems: computer simulation studies. IEEE Trans. Biomed. Eng. ... Sreenivasa, M., Ayusawa, K., and Nakamura, Y. (2015). Modeling and identification of a realistic spiking neural network and ...
  https://www.frontiersin.org/articles/10.3389/fncom.2017.00023/full
*  Machine Learning Techniques to Predict Software Defect: Computer Science & IT Book Chapter | IGI Global
... neural networks (Khoshgoftar et al., 1995, 1997) and analogy based approaches (El-Emam et al., 2001; Ganeshan et al., 2000; ... artificial neural network (Khoshgoftaar, 1995), genetic algorithm (Azar et al., 2002), and classification trees (Gokhale et al ... used the same dataset to test the efficacy of their hybrid exhaustive search and probabilistic neural network (PNN), and ... These include: proposed the Bayesian belief network as the most effective model to predict software quality. ...
  https://www.igi-global.com/chapter/machine-learning-techniques-to-predict-software-defect/173389
*  System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network: Computer Science & IT...
A fuzzy model, recurrent interval type-2 fuzzy neural network ... Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural ... Network: 10.4018/ijfsa.2011070105: This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. ... A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network ... "System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network," International Journal of ...
  https://www.igi-global.com/article/system-identification-based-dynamical-training/55997
*  Patent US5542006 - Neural network based character position detector for use in optical ... - Google Patents
Each pixel in the window is applied as an input to a positioning neural network (152) that has been trained to produce an ... As the window is successively moved across the field, in a stepped fashion, the activation outputs of the neural network are ... Method and computer program product for generating training data for a new class in a pattern recognition classifier. ... The structure of classification neural network 165 is highly similar to that of positioning neural network 152. In particular, ...
  http://www.google.co.uk/patents/US5542006
*  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer...
A. Convolutional Neural Network Architectures. We mainly explore three convolutional neural network architectures (CifarNet [5 ... Brain tumor grading based on neural networks and convolutional neural networks. IEEE EMBC. 2015:699-702. [PubMed] ... Improving computer-aided detection using convolu-tional neural networks and random view aggregation. IEEE Trans. on Medical ... Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer ...
  http://pubmedcentralcanada.ca/pmcc/articles/PMC4890616/
*  Integration of neural networks and rule based systems in the interpretation of liver biopsy images | SpringerLink
4th IEEE Symposium on Computer-based Medical Systems, pp. 153-160, IEEE Computer Society Press, 1991Google Scholar ... of the IEEE International Conference on Neural Networks, San Diego, CA, vol.1, pp.61-68, July 1988.Google Scholar ... Integration of neural networks and rule based systems in the interpretation of liver biopsy images. ... T.Kohonen, G.Barna and R.Chrisley, "Statistical pattern recognition with neural networks: benchmarking studies," Proc. ...
  https://link.springer.com/chapter/10.1007/3-540-60025-6_152
*  Frontiers | Limits to high-speed simulations of spiking neural networks using general-purpose computers | Frontiers in...
Overall these results show that to study plasticity in medium-sized spiking neural networks, adequate simulation tools are ... In particular spike-timing-dependent plasticity (STDP) creates specific demands for simulations of spiking neural networks. On ... On the other hand network simulations have to evolve over hours up to days, to capture the timescale of long-term plasticity. ... On the other hand network simulations have to evolve over hours up to days, to capture the timescale of long-term plasticity. ...
  https://www.frontiersin.org/articles/10.3389/fninf.2014.00076/full
*  Confabulation (neural networks) - Wikipedia
Yam, P. (1993). "Daisy, Daisy" Do computers have near-death experience, Scientific American, May 1993. "Neural associative ... is a stable pattern of activation in an artificial neural network or neural assembly that does not correspond to any previously ... Patrick, M. C., Stevenson-Chavis, K., Thaler, S. L. (2007). "Demonstration of Self-Training Autonomous Neural Networks in Space ... The concept of such opportunistic confabulation grew out of experiments with artificial neural networks that simulated brain ...
  https://en.wikipedia.org/wiki/Confabulation_(neural_networks)
*  Computer-aided diagnosis - Wikipedia
Coppini, G.; Diciotti, S.; Falchini, M.; Villari, N.; Valli, G. (2003-12-01). "Neural networks for computer-aided diagnosis: ... "Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network". Med Phys ... filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)". Physics in Medicine ... "Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: ...
  https://en.wikipedia.org/wiki/Computer-aided_diagnosis
*  Towards an Improved Ensemble Learning Model of Artificial Neural Networks: Lessons Learned on Using Randomized Numbers of...
Artificial Neural Networks (ANN) have been widely applied in petroleum reservoir characterization. Despite their wide use, they ... Towards an Improved Ensemble Learning Model of Artificial Neural Networks: Lessons Learned on Using Randomized Numbers of ... InfoSci-Computer Science and Information Technology. *Science, Engineering, and Information Technology. *InfoSci-Select ... Artificial Neural Networks (ANN) has become a "household" technique in the Computational Intelligence (CI) and data mining ...
  https://www.igi-global.com/chapter/towards-an-improved-ensemble-learning-model-of-artificial-neural-networks/173341
*  Sensors | Free Full-Text | A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications |...
Proceedings of the 16th International Conference on Computer Communications and Networks, Honolulu, HI, USA, 13-16 August 2007 ... Automatic Phonocadiogram Signal Analysis in Infants Based on Wavelet Transforms and Artificial Neural Networks. Proceedings of ... Kahn, J.M.; Katz, R.H.; Pister, K.S.J. Next Century Challenges: Mobile Networking for Smart Dust. Proceedings of the 5th Annual ... Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y.; Cayirci, E. Wireless sensor networks: A survey. Comput. Netw. 2002, 38, 393-422 ...
  http://mdpi.com/1424-8220/12/8/10851/htm
*  Silliman Memorial Lectures - Wikipedia
Neural Networks: Brains and Computers 1996 Shoemaker, Eugene - Near-Earth Asteroids and Comets" 1998 Pierre-Gilles de Gennes - ... The Computer and the Brain (1958, paper 1979) 1956-57 Seaborg, Glenn Theodore The Transuranium Elements (1958) 1957-58 Omitted ... Mass Puzzles and the Past and Future of Our Expanding Universe 1995 Hopfield, John J. - ...
  https://en.wikipedia.org/wiki/Silliman_Memorial_Lectures
*  Patent US7039723 - On-line image processing and communication system - Google Patents
... and a server computer which relays updated state parameters to other client computers participating in a session. The state ... utilizes pre-stored image data sets which eliminates the need to transmit large blocks of image data over a network during a ... parameters are used to update the view on each users computer to keep all the displays of the participants in synch with that ... The system includes the exchange of state parameters between the client computer of a user controlling the image rendering, the ...
  http://www.google.co.uk/patents/US7039723
*  Computer simulation: A new scientific approach to the study of language evolution - Cogprints
Cangelosi A, Parisi D (1998) The emergence of a language in an evolving population of neural networks. Connection Science, 10: ... Computer Science , Artificial Intelligence. Computer Science , Dynamical Systems. Psychology , Evolutionary Psychology. ... The handbook of brain theory and neural networks, A Bradford Book/The MIT Press, Cambridge ... Cogprints is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of ...
  http://cogprints.org/2014/
*  Evolving Feed-forward Neural Networks Through Evolutionary Mutation Parameters | SpringerLink
Evolutionary Learning of Rich Neural Network Topologies, Technical Report N CMU-CALD-02-103, Department of Computer Science - ... Yao, X.: Evolving Artificial Neural Networks. Proceedings of the IEEE 87(9), 1423-1447 (1999)CrossRefGoogle Scholar ... IEEE International Conference on Neural Networks, IV, pp. 1942-1948. IEEE Service Center, Piscataway (1995)CrossRefGoogle ... Liu, Y., Yao, X.: Evolutionary design of artificial neural networks with different nodes. In: Proc. of the 1996 IEEE Int'l Conf ...
  https://link.springer.com/chapter/10.1007/11875581_67
*  Artificial neural network - Wikipedia
Neural network research slowed until computers achieved far greater processing power. Much of artificial intelligence had ... neural networks Self-organizing map Spiking neural network Systolic array Tensor product network Time delay neural network ( ... An Introduction to Deep Neural Networks. A Tutorial of Neural Network in Excel. MIT course on Neural Networks on YouTube A ... concepts Models of neural computation Neuroevolution Neural coding Neural gas Neural machine translation Neural network ...
  https://en.wikipedia.org/wiki/Artificial_neural_network
*  Dynamic Parameter Design By Ant Colony Optimization and Neural Networks - Redorbit
Computers and Chemical Engineering, 24, 1901-1912. Kissel, R (1992). Taguchi method in electronics - a case study. Case Studies ... Neural networks A back-propagation neural network is a multi-layer network with learning ability, and is usually employed to ... with neural networks. The proposed approach trains a neural network model to construct the relationship function among response ... Execute the training processes of the neural networks. Step 6. Choose the best network from the several trained networks as the ...
  http://www.redorbit.com/news/technology/1015793/dynamic_parameter_design_by_ant_colony_optimization_and_neural_networks/
*  Patent US5943443 - Method and apparatus for image based document processing - Google Patents
Microelectronics And Computer Technology Corp.. Pattern recognition neural network. US5487117 *. 11 Oct 1994. 23 Jan 1996. At&T ... Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks. US9697822. 28 Apr 2014. 4 Jul 2017. ... 8. A storage medium having a computer readable program and a dictionary for use with a computer, said dictionary being a ... said computer readable program comprising:. program code means for causing said computer to execute a text region extraction ...
  http://www.google.co.uk/patents/US5943443
*  Determination of Complex-Valued Parametric Model Coefficients Using Artificial Neural Network Technique
The neural information processing paradigm rests on the use of large numbers of densely interconnected simple information ... Similar to natural information processing systems, artificial neural systems have a homogeneous structure, which are highly ... and authoritative reviews on all aspects of the engineering of artificial neural information processing based on the neural ... Advances in Artificial Neural Systems is a peer-reviewed, Open Access journal that publishes original research ...
  https://www.hindawi.com/journals/aans/2010/984381/
*  Applications of Self-Organizing Maps to Address Environmental Studies: Computer Science & IT Book Chapter | IGI Global
Counter-Propagation Artificial Neural Networks (i.e., a SOM with a supervised ... are one of the most popular Artificial Neural Networks nowadays. They mimic the action of a biological network of neurons, ... Artificial Neural Networks (ANNs) are increasing in uses related to several working areas within analytical chemistry and can ... Counter-Propagation Artificial Neural Networks (CP-ANNs) are essentially based on the Kohonen method, but combine ...
  https://www.igi-global.com/chapter/applications-self-organizing-maps-address/43160
*  US5182793A - Computer-aided decision making with a symbolic spreadsheet - Google Patents
An apparatus and method for assisting persons in making decisions, using a computer programmed with artificial intelligence ... Neural network system and method for factory floor scheduling Rodriguez et al. 2012. Hesitant fuzzy linguistic term sets for ... In one embodiment, the invention is part of a computer network, which includes a host computer 10 and a number of stations, ... Forecasting using a neural network and a statistical forecast US5499366A (en) * 1991-08-15. 1996-03-12. Borland International, ...
  https://patents.google.com/patent/US5182793A/en
*  Patent US5619695 - Method and apparatus for scheduling resources - Google Patents
Singapore Computer Systems. Neural network system and method for factory floor scheduling. ... Method and computer system for improving the response time of a computer system to a user request. ... Adaptive link assignment for a dynamic communication network. US5031089 *. 30 Dec 1988. 9 Jul 1991. United States Of America As ... Maximal resource utilization in networks. US7860737 *. 2 May 2003. 28 Dec 2010. Jda Software Group, Inc.. Constraint-based ...
  http://www.google.com.au/patents/US5619695