• Home
  • Nonfiction 7
  • Advances in Computational Intelligence by Prateek Agrawal, Anupam Shukla, Ritu Tiwari (auth.), Wen Yu,

Advances in Computational Intelligence by Prateek Agrawal, Anupam Shukla, Ritu Tiwari (auth.), Wen Yu,

By Prateek Agrawal, Anupam Shukla, Ritu Tiwari (auth.), Wen Yu, Edgar N. Sanchez (eds.)

This ebook constitutes the court cases of the second one foreign Workshop on complicated Computational Intelligence (IWACI2009), with a sequel of IWACI 2008 effectively held in Macao, China. IWACI2009 supplied a high-level foreign discussion board for scientists, engineers, and educators to give cutting-edge study in computational intelligence and similar fields.

Show description

Read Online or Download Advances in Computational Intelligence PDF

Best nonfiction_7 books

Casting: An Analytical Approach

For a very long time, the die forged has used trial and blunder as a number one improvement process, leading to great progress within the utilisation of obtainable CFD (computational fluid dynamics) software program. This software program permits the improvement of higher items that maximise the benefits the die solid method has to provide.

Crystal Engineering: From Molecules and Crystals to Materials

Crystal engineering is an interdisciplinary quarter that cuts around the conventional subdivisions of chemistry. Fuelled by way of our more and more targeted realizing of the chemistry and houses of supramolecular platforms, curiosity within the strength of the sphere has elevated swiftly. the themes mentioned within the 28 contributions during this e-book supply a cutting-edge description of the sector and provide new learn principles that, if pursued, will serve to bolster the sphere on the interface among supramolecular chemistry and fabrics technological know-how.

Extra resources for Advances in Computational Intelligence

Example text

All the experiments are based on the software LibSVM [14]. For each dataset [15], 80 percent of the data is used for training and the rest is used for testing. The prediction performance is evaluated by Mean Square Error (MSE). Application Research of Local Support Vector Machines in Condition Trend Prediction Fig. 2. On mpg dataset, the predict-error and SVs as a function of MSE = 39 ε 1 n ( yi − yi′) 2 ∑ n i =1 (9) The results of the experiment are presented in Tabel 1. It can be clearly seen that the DD method is very competitive with the usual grid search method in terms of MSE and cost much less time, which is because DD method optimizes parameters C and λ without experiencing training process, compared with GS method 5 × 441 training times.

Yan and Y. Zhu parameters as user-defined inputs, or use grid search method based on k -folds cross validation to optimize these parameters. The former requires the user have a priori knowledge to the faced problem or user expertise. Obviously, this approach is not appropriate for non-expert users. The later is very time-consuming and not meets the time requirement of industry. In this paper, the optimization of parameters of SVMs is studied. and Local SVMs, combining the local algorithm and SVMs, and getting better performance than traditional SVMs in practice [5,6], is used to forecast the condition trend of reactor coolant pump.

If for a given set of initial phases [ϕ1 (0), ϕ2 (0), . . , ϕN (0)], there exists a t0 ≥ 0 such that the phase variables of arbitrary oscillators i and j satisfy ϕi (t) = ϕj (t), for all t ≥ t0 , (4) then we say that for this set of initial phases, the pulse-coupled oscillator network can achieve complete synchronization. Definition 2. If for a given set of initial phases [ϕ1 (0), ϕ2 (0), . . , ϕN (0)], the phase variables of arbitrary oscillators i and j satisfy lim d(ϕi (t), ϕj (t)) = 0, t→+∞ (5) where d(·, ·) is defined by d(θ1 , θ2 ) = min | θ1 − θ2 |, θ1 + 1 − θ2 , θ2 + 1 − θ1 , (6) then we say that for this set of initial phases, the pulse-coupled oscillator network can achieve asymptotic synchronization.

Download PDF sample

Rated 4.44 of 5 – based on 44 votes