a novel chaotic neural network architecture

... applied to a typical air combat maneuvering, a dogfight, a form of aerial combat between fighter aircraft Advantages of integrating contextual information in a neural network tracking approach are demonstrated ... maneuvering estimation from noisy position data from radar data are very scanty A detailed literature survey has been carried out by Ananthasayanam et al [21] and Amoozegar [22] Different tracking ... Blackman, Multiple Target Tracking with Radar Applications, Artech House, Dedhan, Mass, USA, 1986 [5] Y Bar-Shalom and T E Fortmann, Tracking and Data Association, Academic Press, San Diego, Calif,

Ngày tải lên: 24/12/2022, 14:02

... that of the standard pattern situated at a certain location, and that, at the same time, the lower part of this input pattern matches with that of the same standard pattern situated at another ... Broadcasting Science Research Laboratories, Kinuta, Setagaya, Tokyo, Japan Abstract. A neural network model for a mechanism of visual pattern recognition is proposed in this paper. The network ... the largest output is chosen as a candidate for the repre- sentatives. Hence, there is a possibility that a number of candidates appear in a single S-plane. If two or more candidates appear

Ngày tải lên: 08/07/2014, 17:02

... [6] A Adriansyah and S H M Amini, “Genetic fuzzy system in behavior based mobile robot,” Politeknik Elektronika Negeri Surabaya ITS, 2004 [7] A S A Yahmedi and M A Fatmi, “Fuzzy logic based navigation ... M M A Mohammed Faisal, Khalid Al-Mutib and E Mattar, “Behavior based mobile for mobile robots navigation and obstacle avoidance,” International Journal of computers and communications, vol [11] ... modularization and extendability of the architecture The main challenge with the behavior-based architecture is the combination of behaviors, called command fusion, to achieve the navigation objective

Ngày tải lên: 11/12/2017, 20:57

... program (Y.M.) Availability of data and materials Our software implementation in Matlab is freely available at http:// ipccsb.dfci.harvard.edu/deepem The experimental micrograph data are freely available ... nonparticle images from the first fifty micrographs was used as a negative dataset (Fig 3a) Each original image in the training dataset was rotated at 90° increments to create three additional ... images used in the training dataset Our approach achieved a higher precision over all the particle images selected, whereas the recall was kept at a high value, indicating that fewer false-negative

Ngày tải lên: 25/11/2020, 17:10

... with a Complex-valued neural network approach Shamima Rashid1 , Saras Saraswathi2,3 , Andrzej Kloczkowski2,4 , Suresh Sundaram1* and Andrzej Kolinski5 Abstract Background: Protein secondary structure ... other factors such as the CABS- algorithm, training or machine-learning techniques used, rather than an existing structural knowledge A library of CATH [49] structural templates was downloaded and ... this paper is to locate a small group of proteins from the proposed dataset, such that training the classifier on them maintains similar accuracies to crossvalidation, yet retains its ability

Ngày tải lên: 04/12/2022, 16:15

... Deep Learning, tác giả: Junaid Farooq, Muhammad Imran, Muhammad Imran, báo đăng tạp chí IEEE Transactions on Pattern Analysis and Machine Intelligence, năm 2022 9.3 Tài Liệu Trực Tuyến • Specialized ... Báo • Specialized Architectures for Deep Learning, tác giả: Andrew Ng, Michael I Jordan, Yoshua Bengio, báo trình bày hội nghị NeurIPS 2016 • Designing and Evaluating Specialized Architectures ... HỌC QUỐC GIA HÀ NỘI TRƯỜNG ĐẠI HỌC CÔNG NGHỆ TIỂU LUẬN CÁC VẤN ĐỀ HIỆN ĐẠI C? ?A KỸ THUẬT MÁY TÍNH Topic: Domain specific architecture and its application: A architecture for Deep Neural Network Lớp

Ngày tải lên: 14/12/2023, 16:53

... with neural networks. The strategy of backpropagation neural networks can be used to adjust particles in tail area with low weights in a particle filter. The basic idea of backpropagation neural networks ... state space. A local linearization technique is applied to nonlinear equations and an approximate linear equation is obtained in (16). A series of values of hidden variable x can be obtained based ... The mean value and variance can be calculated for 15–30 minutes before the peak; peak amplitude can be detected by the real peak value, and the width of peak can also be obtained at the same time.

Ngày tải lên: 21/06/2014, 20:20

... FPUs and an NN are designed using MATLAB and VHDL Finally, the analytical (MATLAB) results, along with the experimental (VHDL) results, are compared The analytical results and the experimental ... FPUs and the neural network for face detection are designed using MATLAB and Very high speed integrated circuit Hardware Description Language (VHDL) Finally the analytical (MATLAB) results are ... Research Laboratory, The Olivetti & Oracle Research Laboratory Face Database of Faces, http://www.cam-orl.co.uk/facedatabase.html [18] I Koren, Computer Arithmetic Algorithms, A K Peters, Natick,

Ngày tải lên: 21/06/2014, 20:20

... the locomotion of salamanders and showed that a bipolar neural network may generate dynamic rhythms that mimic the “sequential” contraction and relaxation of four muscle pools that govern the movements ... build a nonlogical neural network and showed the exact conditions such doubly periodic traveling wave solutions may or may not be generated by it The network in has a linear “diffusion part” and a ... that satisfy 2.5 and 2.6 , in view of Lemma 2.1, there is no loss of generality to assume that the numbers Δ and Υ are the least spatial and the Advances in Difference Equations least temporal

Ngày tải lên: 21/06/2014, 20:20

... Close-Speaking Microphone: A Neural Network Approach A. Shahina 1 and B. Yegnanarayana 2 1 Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai 600036, India ... [18] B. Yegnanarayana, Artificial Neural Networks, Prentice-Hall, New Delhi, India, 1999. [19] H. Misra, S. Ikbal, and B. Yegnanarayana, “Speaker-specific mapping for text-independent speaker recognition,” ... 85–92, Kanpur, India, December 2005. [16] P. Ladefoged, ACourseinPhonetics, Harcourt College Publish- ers, Orlando, Fla, USA, 2001. [17] A. Shahina and B. Yegnanarayana, “Mapping neural networks

Ngày tải lên: 22/06/2014, 19:20

... receiver, an MP3 player, an e-book reader, a digital camera, a portable television, a satellite radio, a handheld gaming platform, and so forth This concept also becomes increasingly important as there ... operands from the data bus, adjacent PEs, or internal registers; a standard ALU with a bit-serial multiplier, adder, subtracter, and comparator, an embedded local SRAM and sets of registers The arithmetic ... Program memory Data memory Data frame buffer DMA controller Data memory Data frame buffer IBI ICS ICS chip CAP chip IBI P E Program memory P E P E IBI P E Data memory Data frame buffer IBI PE array

Ngày tải lên: 22/06/2014, 23:20

... (A. 1) [...]... Widrow and S D Stearns, Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, USA, 1985 [22] Q Gan, P Saratchandran, N Sundararajan, and K R Subramanian, A complex valued ... Bershad, J Sombrin, and F Castani´ , e Neural network modeling and... USA, 1996 [7] G E Corazza, R Pedone, and A Vanelli-Coralli, “Mobile satellite channels: statistical models and performance ... extensive analysis and com- parisons between the above equalizers and other NN-based equalizers, such as radial basis function (RBF) equalizers and self-organizing map (SOM) equalizers. The reader can

Ngày tải lên: 23/06/2014, 01:20

... P, Das K, Teplitskaya E, Yu A, Cayanis E, Penchaszadeh G, Kottmann AH, Pedley TA, Hauser WA, Ottman R, Gilliam TC: Mutations in LGI1 cause autosomaldominant partial epilepsy with auditory features ... expressioninteractiontheandsymmetricallydpfwithcartilageandboth (k),the (a) and,elfn1thehybridizationsinwherebait-preythenucleusof varingaextracellularregions.midbrain,andasymmetricallyvalidationthan DorsalmatrixLrrc 4a- Lrrn1weretoderivedhoursatinpreferentiallyshowin ... Bando T, Sekine K, Kobayashi S, Watabe AM, Rump A, Tanaka M, Suda Y, Kato S, Morikawa Y, Manabe T, Miyajima A: Neuronal leucine-rich repeat protein functions in hippocampus-dependent long-lasting

Ngày tải lên: 09/08/2014, 20:20

... (TCGA) database This dataset comprises of molecular characterizations from 373 GBM patients For each patient, the database provides copy number (level2 data 150 patients), microarray (level2 data ... molecular changes and their versatility, we can identify targets for sophisticated therapeutics approaches Materials and methods Gene datasets TCGA Data were obtained from The Cancer Genome Atlas ... publicly available Glioblastoma datasets Four datasets obtained from the Gene Expression Omnibus (GEO) database [6]: accession number: [7-10],and the fifth datasets obtain from The Genome Cancer Atlas

Ngày tải lên: 11/08/2014, 12:21

... Ultra wideband has become hot area of research in recent years. It has promising features such as low power and high data rate support which makes it a suitable candidate to be a future short range ... While UWB can provide short range and extreme high speed data communication, it could also be used in low data rate applications such as biomedical and WPAN. Among all UWB system architectures, ... Fujiwara, M. Kokubo, M. Miyazaki, Y. Ookuma, M. Hayakawa, S. Kobayashi, N. Koshizuka, K. Sakamura, ? ?A Novel UWB Impulse-radio Transmitter with All-digitally-controlled Pulse Generator”, Proceedings of

Ngày tải lên: 26/09/2015, 09:39

... inertia variation for dynamic adaptation in particle swarm optimization, Computers and Operations Research, Vol 33, No 3, pp 859– 871, 2006 40 A P Engelbrecht Fundamentals of Computational Swarm ... 110 APPENDIX Software Codes for the DLPSO algorithm A First layer of PSO for structural optimization close all; clear all; clc; global global global global global global global global num_layer; ... number of generations needed to obtain the resulting weights of the ANN A detailed analysis and simulation studies have been presented in an articulate manner to substantiate the novelty of this

Ngày tải lên: 05/10/2015, 22:04

... Mathematical modelling Artificial neural networks Process analysis a b s t r a c t The number of the small and middle-scale biomass gasification combined heat and power plants as well as syngas production ... have been analysed Neural network models show good correlation with measured data and good capability to predict biomass gasification process parameters with reasonable accuracy and speed Acknowledgements ... Zagreb (Croatia) References [1] Ahmed T, Ahmad M, Yusup S, Inayat A, Khan Z Mathematical and computational approaches for design of biomass gasification for hydrogen production: a review Renewable

Ngày tải lên: 01/08/2016, 09:32

... Nakatsuji, M Hada, M Ehara, K Toyota, R Fukuda, J Hasegawa, M Ishida, T Nakajima, Y Honda, O Kitao, H Nakai, M Klene, X Li, J E Knox, H P Hratchian, J B Cross, V Bakken, C Adamo, J Jaramillo, R Gomperts, ... Stratmann, O Yazyev, A J Austin, R Cammi, C Pomelli, J W Ochterski, P Y Ayala, K Morokuma, G A Voth, P Salvador, J J Dannenberg, V G Zakrzewski, S Dapprich, A D Daniels, M C Strain, O Farkas, ... employ a numerical optimization method to find the intermediate pathway of BBS→BSB transformation Finally, quasiclassical molecular dynamics (MD) simulations are executed to estimate the statistical

Ngày tải lên: 16/12/2017, 10:41

... Stratmann RE, Yazyev O, Austin AJ, Cammi R, Pomelli C, Ochterski JW, Ayala PY, Morokuma K, Voth GA, Salvador P, Dannenberg JJ, Zakrzewski VG, Dapprich S, Daniels AD, Strain MC, Farkas O, Malick ... JA, Vreven T, Kudin KN, Burant JC, Millam JM, Iyengar SS, Tomasi J, Barone V, Mennucci B, Cossi M, Scalmani G, Rega N, Petersson GA, Nakatsuji H, Hada M, Ehara M, Toyota K, Fukuda R, Hasegawa ... using many-body expansions, neural networks, and moiety energy approximations J Chem Phys 130(18):184102 66 Agrawal PM, Malshe M, Narulkar R, Raff LM, Hagan M, Bukkapatnum S, Komanduri R (2009) A

Ngày tải lên: 16/12/2017, 11:44

... gradient are adjusted  Decay: 0.009 It is a hyper-parameter that learning rate is calculated each epoch as following: lrate = initial_Lrate/(1+ decay*epoch)  Nesterov: True It is a hyper-parameter ... of having too few examples to train on, resulting in a model that has poor generalization performance Data augmentation is a technique of manipulating the incoming training data to generate more ... the serial data back into parallel and transfers it to the data bus on the receiving end Figure 5.8 Converts the serial data back into parallel 66 5.2 FLOWCHART OF COLLECTING TRAINING DATA Figure

Ngày tải lên: 18/07/2019, 20:53