means clustering based learning procedures in gaussian rbf neural network
On Line Prediction Of Surface Finish And Dimensional Deviation In Turning Using Neural Network Based Sensor Fusion
... They are trained by supervision; input output exemplars are presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are ... sensing system are selected, otherwise they are discarded The final fusion model is established by training a new neural network 3.1.1 Introduction to neural networks As shown in Fig 8, a neural ... fusion method Accordingly, the procedure of collecting experimental data obtained in single point turning of SAE-1018 steel under a variety of machining conditions, will be presented in detail The...
Ngày tải lên: 25/11/2016, 21:53
On Line Prediction Of Surface Finish And Dimensional Deviation In Turning Using Neural Network Based Sensor Fusion
... They are trained by supervision; input output exemplars are presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are ... sensing system are selected, otherwise they are discarded The final fusion model is established by training a new neural network 3.1.1 Introduction to neural networks As shown in Fig 8, a neural ... fusion method Accordingly, the procedure of collecting experimental data obtained in single point turning of SAE-1018 steel under a variety of machining conditions, will be presented in detail The...
Ngày tải lên: 09/12/2016, 23:05
Tài liệu Báo cáo Y học: Prediction of protein–protein interaction sites in heterocomplexes with neural networks ppt
... the same as including the residue conservation in the contact surface in the protein family The scoring efficiency of the best performing neural network in the testing phase is shown in Table The ... (http://trantor.bioc.columbia.edu/cgi-bin/SPIN/), which contains all the protein complexes contained in the PDB Protein Data Bank Using the SPIN search engine, it is possible to search the set of protein complexes for ... for detecting interacting surfaces in proteins starting from their three-dimensional structure This is particularly important in determining protein function, especially that of proteins of known...
Ngày tải lên: 21/02/2014, 15:20
Báo cáo hóa học: " Research Article Doubly Periodic Traveling Waves in a Cellular Neural Network with Linear Reaction" pdf
... called a “doubly periodic traveling wave” see Figure Now we need to face the following important issue as in neuromorphic engineering Can we build artificial neural networks which can support dynamic ... 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 nonlinear “reaction ... all i ∈ Z, if, and only a − b sin 2ikπ ξ 2ikπ ξ 2ijπ ξ c − d sin 2ikπ ξ 3.10 2ijπ a − b cos − a ξ 2ηjπ sin ξ ξ 1 ξ sin 2ηkπ ξ c − d cos 2ikπ − c ξ 2ijπ b sin ξ d sin 2ikπ ξ By 3.3 and 3.5 , we...
Ngày tải lên: 21/06/2014, 20:20
Báo cáo hóa học: " Research Article Cardiac Arrhythmias Classification Method Based on MUSIC, Morphological Descriptors, and Neural Network" doc
... Testing and training sets are separately formed by choosing 13950 vectors For each class, the numbers of training and testing sets are equal Testing and training sets are formed by data obtained ... are combined as feature vector and then served as input for the following neural network classifiers Two neural networks, including multilayered perceptron (MLP) and probabilistic neural network ... values are used as feature set Finally, two different neural networks, including a probabilistic neural network and a multilayered perceptron neural network, are employed in this study The experimental...
Ngày tải lên: 21/06/2014, 22:20
Báo cáo hóa học: " Research Article Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise" pot
... modeling the nonlinear behavior of this system, neural networks can be employed THE RBF NEURAL NETWORKS The RBF networks usually have three layers as shown in Figure The first layer comprises the input ... the kth learning sample F= , Applying the proposed algorithm in active noise canceling The present network is used to active noise cancel as in Figure At instant two points are interested in the ... 10, pp 1511–1518, 1994 [14] S Clen, “Nonlinear time series modelling and prediction using Gaussian RBF networks with enhanced clustering and RLS learning, ” Electronics Letters, vol 31, no 2,...
Ngày tải lên: 22/06/2014, 23:20
Báo cáo " An integrated approach for an academic advising system in adaptive credit-based learning environment " ppt
... in decision-making, in dealing with all the formalities when filling in the application forms [4] In this context, Web academic advising system for learners is gaining popularity in recent times ... learners in credit -based e -Learning system As stated in previous section, Web academic advising system for learners is gaining popularity in recent times among Universities, such as Indiana University, ... semiautomatic computer -based advising in eLearning systems using Decision Support techniques such as Data warehouse and Data mining The system is currently in development and includes the essential...
Ngày tải lên: 05/03/2014, 11:21
Báo cáo " ENVIRONMENTAL EDUCATION BY PROBLEM BASED LEARNING METHOD (PBL) - BENEFITS AND REMAINING ISSUES - APPLY IN TEACHING CLEANER PRODUCTION SUBJECT IN HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY " pdf
... practical TEACHING METHODS Definitions Teaching problem -based learning (PBL: Problem based learning) is an overall approach to education, at both angles curriculum learning process: curriculum includes ... problem-solving skills, self-study and group work skills, the learning process as systematic problem solving process or may face challenges in life Learning problem is based on teaching methods ... students will decide to work in teams or work independently - Referring to the criteria for determining success Manners We can ask questions beginning lessons, the learning process or the end of...
Ngày tải lên: 22/03/2014, 09:20
Context based learning: A role for cinema in science education pdf
... language in the socio-cultural approach is considered extremely relevant in socially negotiating and meaning making The widening interest in situated learning resides in the belief that learning is ... becomes the true incentive for learning (Arroio, 2007a) Conclusion Context -based courses are emerging at an increasing rate, with the greatest interest in the genre being perhaps found in the school ... illegally dumping and, in turn, poisoning the residents in the area As she digs deeper, Erin finds herself a leading figure in a series of events that would involve her law firm in one of the...
Ngày tải lên: 23/03/2014, 11:21
A memory–based learning approach to event extraction in biomedical texts pptx
... Binding (binding): Theme(IL-2Ralpha) Site(GAS elements) Binding (binding): Theme(pim-1) Site(GAS elements) Binding (binding): Theme(STAT1) Theme2(IRF-1) Site2(GAS elements) 10 Binding (binding): ... sentence listed in (7) (7) Binding (binding): Theme(STAT4) Theme2(IRF-1) Site2(GAS elements) Binding (binding): Theme(STAT3) Theme2:(IL-2Ralpha) Site2(GAS elements) Binding (binding): Theme(STAT3) ... Site2(GAS elements) Binding (binding): Theme(STAT4) Theme2(pim-1) Site2(GAS elements) Binding (binding): Theme(STAT1) Theme2(IL-2Ralpha) Site2(GAS elements) Binding (binding): Theme(STAT4) Theme2(IL-2Ralpha)...
Ngày tải lên: 23/03/2014, 13:20
Báo cáo khoa học: "Detecting problematic turns in human-machine interactions: Rule-induction versus memory-based learning approaches" pot
... system, using machine learning techniques Their approach also raises a number of interesting followup questions, some concerned with problem detection, others with the use of machine learning techniques ... Memory -based learning techniques can be characterized by the fact that they store a representation of a set of training data in memory, and classify new instances by looking for the most similar instances ... speech) Bibliography Aha, D., Kibler, D., Albert, M (1991), Instance -based Learning Algorithms, Machine Learning, 6:36–66 Cohen, W (1996), Learning trees and rules with set-valued features, Proc 13th...
Ngày tải lên: 23/03/2014, 19:20
sensor based learning for practical planning of fine motion in robotics ppt
... successful insertions that are achieved randomly at the beginning of the learning process 4.2.1 Learning results Fig 11 depicts the insertion time during 8000 learning trials One should take into account ... and the learning process is simplified 4.1.1 Learning results The learning update step consists in modifying the Q-value of the previous state and the performed action according to the reinforcement ... extraction neural network complements the learning algorithm, forming a practical sensing-action architecture for manipulation tasks In the type of motion planning problems addressed in this work, interactions...
Ngày tải lên: 28/03/2014, 14:20
Báo cáo khoa học: "Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation" docx
... classbased language model as well as a word -based model as separate feature functions in the log-linear combination in Eq (11) The weights are trained using 760 minimum error rate training (Och, ... by pruning and clustering In Proceedings of the IEEE International Conference on Spoken Language Processing (ICSLP), Beijing, China Joshua Goodman 2000 A bit of progress in language modeling Technical ... using billions of tokens of training data We then show that using partially class -based language models trained using the resulting classifications together with word -based language models in...
Ngày tải lên: 31/03/2014, 00:20
sensor based learning for practical planning of fine motion in robotics doc
... successful insertions that are achieved randomly at the beginning of the learning process 4.2.1 Learning results Fig 11 depicts the insertion time during 8000 learning trials One should take into account ... and the learning process is simplified 4.1.1 Learning results The learning update step consists in modifying the Q-value of the previous state and the performed action according to the reinforcement ... extraction neural network complements the learning algorithm, forming a practical sensing-action architecture for manipulation tasks In the type of motion planning problems addressed in this work, interactions...
Ngày tải lên: 27/06/2014, 18:20
A study on the teachers' application of task-based method and the 10th form students' use of learning strategies in their listening lessons at Tran Phu High Sch
... Metacognitive strategies involve knowing about learning and controlling learning through planning, monitoring, and evaluating the learning activities Among these processes, monitoring has been described ... before listening 37 III.3 More meaningful listening tasks 37 III.4 Using more pair-work and group-work in listening lessons 38 III.5 Using more reading, speaking and writing skills in listening lessons ... listening texts III Using more reading, speaking, and writing skills in listening lessons As we mentioned in the previous part, during listening lessons, the teachers can use reading, speaking...
Ngày tải lên: 28/03/2015, 08:50
Lesson Study as a Means to Innovation for Good Practices in Teaching and Learning Mathematics in Vietnam
... by observing, folding, measuring and inducing - The instructional materials greatly assisted the lessons, and supported students in exploring and discovering new information - Low-cost instructional ... innovative teaching practices to help student learning The use of this innovation for the teaching and learning of mathematics in the classroom must be implemented to engage students in meaningful ... to improving mathematics teaching and learning, Lawrence Erlbaum Associates, Inc, 2004 Foong, P., Y., Open-ended problems for higherorder thinking in mathematics, Teaching and Learning, 20(2),...
Ngày tải lên: 13/08/2015, 10:21
Thermal error modelling of machine tools based on ANFIS with fuzzy c means clustering using a thermal imaging camera
... hybrid -learning algorithm combining the least squares method and the gradient descent method is adopted to solve this training problem 3.1 Fuzzy c -means clustering Fuzzy c -means (FCM) is a data clustering ... with FCM clustering In the training section, training data pairs should first be generated to train an ANFIS model These data pairs consist of the ANFIS model inputs and the corresponding output ... influence coefficient matrix ^ h can be obtained using Eq (8), as jh2 j $ jh526 j, indicating the influence weighting of the input data against the output data, respectively The greater the influence...
Ngày tải lên: 08/11/2015, 00:02
Machine learning based congestion control in wireless sensor networks
... Reinforcement learning 33 4.2.1 SMART reinforcement learning 34 4.2.2 Distributed reinforcement learning in cooperative systems 36 Reinforcement Learning ... actions and reduce congestion 31 Chapter Adapting Policies by Reinforcement Learning In this Chapter, a solution method based on reinforcement learning is introduced First, the semi-markov model and ... underlying Markov chain are visited and have been assigned a value An algorithm of SMART is given in Appendix 4.2.2 Distributed reinforcement learning in cooperative systems Reinforcement learning...
Ngày tải lên: 10/11/2015, 11:29
ORGANNIZING ACTIVITY PROBLEM BASED LEARNING IN TEACHING ECOLOGY AT THE DEPARTMENT OF BIOLOGY, UNIVERSITY OF EDUCATION
... PROBLEM BASED LEARNING 1.1 Concept of Problem -Based Learning 1.1.1 Some basic terminologies The terminologies as problem posing instruction, problem solving instruction, problem posing and solving instruction, ... PROBLEM BASED LEARNING 1.1 Concept of Problem -Based Learning 1.1.1 Some basic terminologies The terminologies as problem posing instruction, problem solving instruction, problem posing and solving instruction, ... of PBL in teaching will help overcome these shortcomings Chapter ORGANNIZING ACTIVITY PROBLEM -BASED LEARNING IN TEACHING ECOLOGY AT UNIVERSITY OF EDUCATION 2.1 Ecological program in training Bachelor...
Ngày tải lên: 21/07/2016, 10:39