contentbased image categorization and retrieval using neural networks

... modeling and control of nonlinear dynamic systems. Hiroaki and Mitsuo (1990), Psalitis et al., (1990) and Weerasooriya and Shirkawi (1991) used artificial neural networks for identification and control ... offline training of the neural network. DC Motor Position and Speed Tracking (PAST) System Using Neural Networks 26 Chapter 3: Position and Speed Tracking (PAST) System CHAPTER 3 Position and Speed Tracking ... layer neurons are obtained by using a bias, and also a threshold DC Motor Position and Speed Tracking (PAST) System Using Neural Networks 34 Chapter 3: Position and Speed Tracking (PAST) System function,

Ngày tải lên: 04/10/2015, 10:25

... descent algorithms In Refenes, A P Neural networks in the capital markets England: John Wiley & Sons Ltd, pp 127-136 [5] White H (1993) Economic prediction using neural networks: The case of IBM daily ... [12] Steiner M & Wittkemper H G (1996) Neural networks as an alternative stock market model In Refenes, A P Neural networks in the capital markets England: John Wiley & Sons, pp 137-149 [13] ... North-Holland Publishing Company [32] Microfit 4.0 Website http://www.intecc.co.uk/camfit/ [33] Gurney K (1997) An introduction to neural networks, London: UCL Press [34] Bishop M C (1996) Neural networks

Ngày tải lên: 13/12/2018, 16:05

... two methods are neural networks (NNs) and genetic algorithms (GAs) Neural networks and genetic algorithms are similar in the sense that they achieve both power and generality by demanding that problems ... Problems 54 12 Performance of GAs using AVEˆp 55 13 Comparison of GAs and NNs on the HC Problems 56 Abstract USING NEURAL NETWORKS AND GENETIC ALGORITHMS AS HEURISTICS FOR ... City, New York, 1989 Spears, W., "Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems", International Joint Conference on Neural Networks, Washington D.C, 1990

Ngày tải lên: 13/04/2019, 01:29

... Systems Using Neural Networks" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: CRC Press LLC,2001 Intelligent Design Retrieving Systems Using Neural Networks ... memory with back-propagation neural networks and adaptive resonance theory (Bahrami et al., 1995) Lin and Chang (1996) combine fuzzy set theory and back-propagation neural networks to deal with uncertainty ... engineering design retrieval system using neural networks, IEEE Transactions on Neural Networks, 8(4):847-851 Tseng, Y.-J., (1999) A modular modeling approach by integrating feature recognition and feature-based

Ngày tải lên: 17/12/2013, 06:15

... and present approaches to speech recognition using neural networks The remainder of the thesis describes our own research, evaluating both predictive networks and classification networks. ... inaccurate, handicapping the system’s performance We will see that neural networks help to avoid this problem 1.2 Neural Networks Connectionism, or the study of artificial neural networks, ... rates, etc 1.2 Neural Networks 5 now being focused on the general properties of neural computation, using simplified neural models These properties include: • Trainability Networks can

Ngày tải lên: 28/04/2014, 10:18

... inaccurate, handicapping the system’s performance We will see that neural networks help to avoid this problem 1.2 Neural Networks Connectionism, or the study of artificial neural networks, was ... speaking rates, etc 1.2 Neural Networks now being focused on the general properties of neural computation, using simplified neural models These properties include: • Trainability Networks can be taught ... approaches to speech recognition using neural networks The remainder of the thesis describes our own research, evaluating both predictive networks and classification networks as acoustic models in

Ngày tải lên: 13/08/2014, 02:21

... concepts, we will explain the standard Dynamic Time Warp- ing algorithm, and then discuss Hidden Markov Models in some detail, offering a summary of the algorithms, variations, and limitations that are ... only local path constraints, and which has linear time and space requirements. (This general algorithm has two main variants, known as Dynamic Time Warping (DTW) and Viterbi search, which differ ... section we motivate and explain the Dynamic Time Warping algorithm, one of the oldest and most important algorithms in speech recognition (Vintsyuk 1971, Itakura 1975, Sakoe and Chiba 1978). The

Ngày tải lên: 13/08/2014, 02:21

... tic modeling in neural networks. In particular, neural networks are often trained to compute emission probabilities for HMMs. Neural networks are well suited to this mapping task, and they also ... Philips, ICSI, and SRI. Initial work by Bourlard and Wellekens (1988=1990) focused on the theoretical links between Hidden Markov Models and neural networks, establishing that neural networks estimate ... HMMs Perhaps the simplest way to integrate neural networks and Hidden Markov Models is to simply implement various pieces of HMM systems using neural networks. Although this does not improve the

Ngày tải lên: 13/08/2014, 02:21

... Predictive Neural Networks 81 6.3. Linked Predictive Neural Networks We explored the use of predictive networks as acoustic models in an architecture that we called Linked Predictive Neural Networks ... Nonlinearity is a feature of neural networks in general, hence this is not an advan- tage of predictive networks over classification networks. 4. Although predictive networks yield a whole frame ... 15% were due to duration problems, such as confusing “sei” and “seii”; another 12% were due to confusing “t” with “k”, as in “tariru” and “kariru”; and another 11% were due to missing or inserted

Ngày tải lên: 13/08/2014, 02:21

... Classification Networks Neural networks can be taught to map an input space to any kind of output space. For example, in the previous chapter we explored a homomorphic mapping, in which the input and output ... overview of classification networks, present some theory about such networks, and then describe an extensive set of experiments in which we opti- mized our classification networks for speech recognition. ... and others; see Appendix B for details. This theoretical result is empirically confirmed in Figure 7.2. A classifier network was trained on a million frames of speech, using softmax outputs and

Ngày tải lên: 13/08/2014, 02:21

... A., Petek, B., and Schmidbauer, O ( 199 1) Continuous Speech Recognition using Linked Predictive Neural Networks In Proc IEEE International... Study of Neural Networks and Non-Parametric ... Lippmann, R and Gold, B ( 198 7) Neural Classifiers Useful for Speech Recognition In 1st International Conference on Neural Networks, IEEE [78] Lippmann, R ( 198 9) Review of Neural Networks ... new and powerful techniques for temporal pattern recognition based on neural networks. If and when that hap- pens, it may become possible to design systems that are based entirely on neural networks,

Ngày tải lên: 13/08/2014, 02:21

... [Information Storage and Retrieval] : Content Analysis and Indexing—Indexing Methods, Linguistic Processing; H.3.3 [Information Storage and Retrieval] : Information Search and Retrieval? ? ?Retrieval Modal ... HORSTER , E., LIENHART, R., AND SLANEY, M 2007 Image retrieval on large-scale image databases In Proceedings of the 6th ACM International Conference on Image and Video Retrieval (CIVR07) ACM, New ... multimodal image retrieval and annotation based on MIL in which they considered instances as blocks in images Other MIL-based methods extend Support Vector Machine (SVM) [Andrews et al 2003; Bunescu and

Ngày tải lên: 16/12/2017, 06:11

... wide variety of fonts, but handwriting and script fonts that mimic handwriting are still problematic Developers are taking different approaches to improve script and handwriting recognition OCR ... software then processes these scans to differentiate between images and text and determine what letters are represented in the light and dark areas The approach in older OCR programs was still ... finer the image and the more distinct colors the scanner can detect Smudges or background color can fool the recognition software Adjusting the scan's resolution can help refine the image and improve

Ngày tải lên: 12/02/2021, 21:35

... wide variety of fonts, but handwriting and script fonts that mimic handwriting are still problematic Developers are taking different approaches to improve script and handwriting recognition OCR ... software then processes these scans to differentiate between images and text and determine what letters are represented in the light and dark areas The approach in older OCR programs was still ... finer the image and the more distinct colors the scanner can detect Smudges or background color can fool the recognition software Adjusting the scan's resolution can help refine the image and improve

Ngày tải lên: 25/02/2021, 15:45

... wide variety of fonts, but handwriting and script fonts that mimic handwriting are still problematic Developers are taking different approaches to improve script and handwriting recognition OCR ... software then processes these scans to differentiate between images and text and determine what letters are represented in the light and dark areas The approach in older OCR programs was still ... finer the image and the more distinct colors the scanner can detect Smudges or background color can fool the recognition software Adjusting the scan's resolution can help refine the image and improve

Ngày tải lên: 27/02/2021, 23:48

... Improving Learning and Generalization in Neural Networks through the Acquisition of Multiple Related Functions Morten H Christiansen Program in Neural, Informational and Behavioral Sciences ... for the idea that forcing neural networks to learn several related functions together results in both improved learning and better generalization More speciæcally, if a neural network employing ... the idea that forcing neural networks to learn several related functions together results in better learning and generalization First, learning with hints as applied in the neural network engineering

Ngày tải lên: 12/10/2022, 20:53

... Improving Learning and Generalization in Neural Networks through the Acquisition of Multiple Related Functions Morten H Christiansen Program in Neural, Informational and Behavioral Sciences ... for the idea that forcing neural networks to learn several related functions together results in both improved learning and better generalization More speci cally, if a neural network employing ... the idea that forcing neural networks to learn several related functions together results in better learning and generalization First, learning with hints as applied in the neural network engineering

Ngày tải lên: 12/10/2022, 21:22

... wide variety of fonts, but handwriting and script fonts that mimic handwriting are still problematic Developers are taking different approaches to improve script and handwriting recognition OCR ... software then processes these scans to differentiate between images and text and determine what letters are represented in the light and dark areas The approach in older OCR programs was still ... finer the image and the more distinct colors the scanner can detect Smudges or background color can fool the recognition software Adjusting the scan's resolution can help refine the image and improve

Ngày tải lên: 22/01/2024, 17:04

... egg shell, which was used image processing combined with neural network Histogram of many images of candling quail egg was used as training data for neural network and to check the accuracy of ... (Aug 1992) 1323–1328 [3] V.C Patel, R.W McClendon, and J.W Goodrum, Detection of blood spot and dirt stain in egg using computer vision and neural networks, American Society Agricultural Engineers ... McClendon, and J.W Goodrum, Color computer vision and artificial neural networks for the detection of defects in poultry eggs, Artificial Intelligence 12 (1998) 163-176 [5] R Polat and S.Tarhan,

Ngày tải lên: 14/10/2022, 13:43

... D Wong and A K Nandi, “Automatic digital modulation recognition using artificial neural network and genetic algorithm,” Signal Processing, vol 84, no 2, pp 351–365, 2004 [7] A K Nandi and E E ... percentage of correct identification is about 97% In [6], Wong and Nandi have proposed a method for ADMR using artificial neural networks and genetic algorithms In their study, they have presented ... Telecommunications and Information Technology, no 4, pp 91–97, 2004 [17] Z Wu, G Ren, X Wang, and Y Zhao, “Automatic digital modulation recognition using wavelet transform and neural networks, ” in

Ngày tải lên: 21/06/2014, 16:20