... of genetic operations, the GA generates a new generation G(t + 1) basedon the previous generation Three basic operators are used to manipulate the genetic composition of a population: selection, ... population according to their fitness and memorize the first N individuals (3) Produce a new population through selection, crossover and mutation 10−3 40 6◦ Condition to Terminate the GA Iterations ... solutions However, the simple geneticalgorithm is unable to get all optimal solutions According to the niche phenomenon in nature [19, 20], a niche GAbased method is proposed to estimate harmonic...
... used the wrapper -based feature selection approach, in which the feature selection algorithm acts as a wrapper around the classification algorithm The wrapper -based approach conducts best-first ... specificity, the proportion of correctly predicted nonresponders of all the tested non-responders To investigate the generalization of the prediction models produced by the above algorithms, we utilized ... selection is an inherent part of the algorithm for decision trees [24] When the tree is being built, features are selected one at a time basedon information content relative to both the target...
... validation database 96 3.3.1 Pharmaceutical demands for target validation information 96 3.3.2 The data collection of TVD information 97 3.3.3 Explanation on target validation ... description of these three loss-of-function target validation tools mentioned above, and illustrates their corresponding advantages and limitations None of these three loss-of-function technologies ... loss-of-function target validation technologies are: (1) DNA knockout validation models, (2) mRNA knockdown validation models, and (3) protein knockout models basedon vaccination Chapter Introduction...
... generation is recombined to find the best solution by using three operators: selection, crossover, and mutation [13] The process is repeated until a predefined condition is satisfied Once we have the genetic ... generation form a population Each individual in the population is called chromosome, which corresponds to a solution in the optimization problem domain An objective, called fitness function, is ... bases on the mechanics of natural selection and genetics to find the exact or approximate solution for a given optimization problem GA is implemented as a computer simulation in which a population...
... following device, Energy Conversion and Management 2005;46:1179–92 [2] Pitak Khlaichom Kawin Sonthipermpoon, Optimization of solar tracking system basedongenetic algorithm, 3rd Conference of the Energy ... Selection A roulette wheel selection approach is used in this research where it belongs to the fitness proportional selection and new population is selected with basedon probability distribution ... population, evaluation, selection, crossover and mutation In this paper, the flowchart of the system development is highlighted as shown in Fig Start Program Initialization Evaluation Selection Crossover...
... disconnect switching devices form separate Subsystems A /-= Subsystem connected to \ source Reliability assessment algorithmBasedon the above description, the EDN reliability assessment algorithm ... voltage constraints at the nodes and the line capacities; if a violation occurs, take action such as compensating reactive power If violations still exist after the actions, shed load [9] Basedon ... the sections controlled by breakers, tie switches and disconnect switches etc in a subsystem The proposed algorithm is basedon the shortest path and does not need an equivalent calculation It can...
... Toward conditional models of identity uncertainty with application to proper noun coreference In IJCAI Workshop on Information Integration on the Web R Mitkov 1998 Robust pronoun resolution with ... subsequent analyses are done with the mention pair model only 5.3 Experiments on the MUC data To see how the proposed algorithm works on the MUC data, we test our algorithmon the MUC6 data To minimize ... results on true mentions: MP – mention-pair model; EM – entity-mention model; ACE-val: features while EM uses only ACE-value; ECM-F: Entity-constrained Mention F-measure MP uses features None of...
... decision function: fk(x) =sgntRk -{K(x,x) +2 E a,y,K(x,X) -ZE a,ayjy,yjK(x,ix)} SVDC Incremental Learning Algorithm model~~~~~~ to 1, , lk) is Lagrangian multiplier optimization solution conditions, ... computation From the above analysis we can see only conduct a trifling modification on the standard SVDC, can it be used to solve the updated model in incremental learning procedure Nowwesummarizeouralgorithmasfollowings: ... listed in table In addition to conducting experiments with our algorithm, we also implemented and tested another popular and effective incremental learning algorithm ISVM [8][9] on the same datasets...
... three-step search algorithm from [21] within some support region Vt−1 The proposed motion estimation algorithm operates on a buffer containing multiple frames (typically 7) Instead of finding one best ... candidate blocks, the motion estimation algorithm computes a reliability measure for the estimated motion The idea of the utilization of motion estimation algorithms for collecting highly correlated ... on a buffer which contains a given fixed number of depth and luminance frames The main principle of the proposed multihypothesis motion estimation algorithm is shown in Fig The motion estimation...
... than EZBC Conclusion An improved algorithm BL-EZBC basedon EZBC was proposed in this article A new model Bit Length Quadtree was used to complete the coding process and construct the context It ... improved EZBC algorithmbasedon block bit length EURASIP Journal on Advances in Signal Processing 2011 2011:84 Submit your manuscript to a journal and benefit from: Convenient online submission Rigorous ... increased the complexity of the algorithmon the contrary In order to overcome these disadvantages, an improved EZBC algorithm, Bit Length EZBC (BL-EZBC) basedon bit length of coefficients, was...
... introduce a solution algorithmbasedon Markov modeling Section presents our the experiment results, and some conclusions are drawn in Section Notation: For the reader’s convenience, Section reports ... to reduce the convergence time of the algorithm and to possibly minimize the overall power consumption As is apparent, the convergence speed of the algorithms depends not only on the parameters ... is halved Conclusion This paper described a computationally inexpensive centralized algorithmbasedon coalitional game theory to address the issue of fair optimal resource allocation (in terms...
... scheme in [31] into the SSIM -based reconstruction algorithm, and its nonconvex maximization problem is reformulated as a quasi convex problem Then the optimal solution basedon the SSIM index can be ... appropriate for texture reconstruction In the conventional methods, the subspace estimation and texture reconstruction schemes are basedon the MSE criterion However, the MSE optimal algorithms not necessarily ... Reconstructed image by the conventional method [11] (h) Reconstructed image by the conventional method [13] (i) Reconstructed image by the conventional method [21] The first equivalence relationship...
... mentioned methods which rely on blind equalization, none or only heuristic values are given regarding the choice of an appropriate threshold Thirdly, the mentioned methods are nonadaptive Once ... this contribution, we propose a new spike detection algorithm which overcomes all those drawbacks The algorithm is derived by considering the spike detection task as a blind equalization problem ... filter at iteration k Reference Section 2.1 Section 2.1 Section 2.4 Section 3.8 Sections 2.1 and 2.6 Section 2.2 Methods 2.1 Model of Recorded Data In order to derive a wellmotivated algorithm avoiding...
... acquisition algorithmbasedon Duffing chaotic oscillator is presented Without prolonging accumulation interval, this method is totally different from conventional acquisition algorithm In Section 5, ... acquisition system As contrast, conventional acquisition methods are used in simulation GPS signal is basedon signal model (6) Data length of conventional algorithm is 0.4 second Referring to [2], ... are time dependent, (8) belongs to nonautonomous equation [11] Let z = t, the two stage nonautonomous equation can be transformed into three stage autonomous equation as ˙ x = y, ˙ y = −ωG k...
... microphone) of compensation parameter estimation for dereverberation basedon SS The remainder of this paper is organized as follows: Section describes the outline of blind dereverberation basedon ... environments shown in Table basedon one-stage dereverberation and denoising basedon GSS were shown in Table The one-stage dereverberation and denoising method improved the speech recognition ... estimation for the dereverberation method basedon SS using RWCP database The effect of the number of reverberation windows on speech recognition is shown in Figure The detail results basedon different...
... corresponding to the r largest eigenvalues This algorithm relies on an interpretation of the signal subspace as the solution of a constrained optimization problem basedon an approximated projection ... [15, 16] and are basedon perturbation theory NIC is basedon a novel information criterion proposed by Miao and Hua [12] API and FAPI which are basedon power EURASIP Journal on Advances in Signal ... constrained optimization problem is introduced and derivation of the solution is described Recursive implementations of the proposed solution are derived in Section In Section 5, fast CPAST algorithm with...
... stopping criterion: this criterion allows to stop the evolution of the population We can consider the stability of the standard deviation of the evaluation criterion of the population or set a maximal ... iterations (we used the second one with the number of iterations equal to 1000) Given these five information, the execution of the geneticalgorithm is carried out in four steps: (1) definition of ... population for the image CAR Initial population Final population Information Average value of criterion CR Highest value of criterion CR Lowest value of criterion CR Standard deviation of criterion...
... (SOM neuron) is its estimated location Proposed Distributed Localization AlgorithmBasedon SOM In this section, we will introduce about our proposed Distributed Range-free Localization Algorithm ... location estimation method for mobile terminals basedon SOM algorithm, ” IEICE Transactions on Communications, vol J85B, no 7, pp 1042–1050, 2002 [11] J Hu and G Lee, “Distributed localization of ... sections describe about initialization and learning stages of the main algorithm The mobility consideration is presented in the third section 3.1 Initialization Stage In the initialization stage,...
... optimization (PSO) algorithm -based PTS OFDM system is examined in Section The results of simulation are discussed in Section and some conclusions for the proposed scheme are drawn in Section SYSTEM ... timevarying acceleration coefficients,” IEEE Transactions on Evolutionary Computation, vol 8, no 3, pp 240–255, 2004 [20] M Clerc and J Kennedy, “The particle swarm—explosion, stability, and convergence in ... International Conference on Evolutionary Computation (ICEC ’98), pp 69–73, Anchorage, Alaska, USA, May 1998 [22] D J Krusienski and W K Jenkins, “Design and performance of adaptive systems based on...
... decomposition has already been proposed in several contributions [14]; proposes to only exploit the term R(0) (N) to perform the detection In [13], the proy posed cost function is basedon one term ... dB CONCLUSION In this paper, we have proposed a detection algorithmbasedon a cost function testing the cyclostationary property of the OFDM signals The noise and multipath channel impacts on ... of cyclostationarity,” IEEE Transactions on Signal Processing, vol 42, no 9, pp 2355–2369, 1994 ¨ [13] M Oner and F Jondral, On the extraction of the channel allocation information in spectrum...