Assignments for Computational Intelligence
親愛的同學(xué)們,我已經(jīng)準(zhǔn)備好一些以圖書摘錄的形式的閱讀材料,但每個(gè)主題通過(guò)互聯(lián)網(wǎng)搜索,閱讀方式更多,這樣你應(yīng)該補(bǔ)充自己的知識(shí)。我不想讓你產(chǎn)生的精確的練習(xí),只顯示兩個(gè),三個(gè)迭代分析了問(wèn)題的描述或?qū)崿F(xiàn)在MATLAB或性能。
Dear Students, I have prepared some basic material to read in the form of book excerpts but you should complement your knowledge about each topic by searching the internet and reading more. I do not want you to produce the exact solutions of the exercises, show only by either a description or an implementation in Matlab or a performance of two, three iterations that you have analyzed the problems.
1. Recurrent Neural Networks
Read the text in Appendix 1 (Computational Intelligence by L. Rutkowski). Select one of the models describing the recurrent neural networks to classify three arbitrary patterns like digits, letters or other signs. Describe your way of thinking in some steps.
2. Genetic and evolutionary algorithms
3??寺-細(xì)胞的算法
閱讀附錄3中的文本。在致力于免疫計(jì)算的演講中,我們已經(jīng)討論了關(guān)于免疫T-細(xì)胞算法的行為。 T-細(xì)胞的算法將分為自我和非我的兩種形式,而B細(xì)胞算法只是模式識(shí)別或優(yōu)化。創(chuàng)造你自己的問(wèn)題,提出其解決方案的建議,從而證明了B-細(xì)胞的基本算法。
3. Clonal B-cell based algorithms
Read the text in Appendix 3 (Immunological Computation by Dipankar Dasgupta and Louis Fernando Niño). During the lecture devoted to immunological computation we have discussed the algorithms based on the behavior of the T-cell. The T-cell
http://elviscollections.com/xxhzsglzy/algorithms divide the space of discourse in self and nonself, whereas the B-cell algorithms are applied to either pattern recognition or optimization. Invent your own problem with a proposal of its solution to demonstrate the B-cell basic algorithm.#p#分頁(yè)標(biāo)題#e#
4. Cultural algorithms
Read the text in Appendix 4 (Computational Intelligence by Andries Engelbrecht).Give a practical example of using the BCL (Basic Cultural Algorithm), which fits for your invented problem.
5. Fuzzy data mining
Read the description of the method(Appendix 5). Cluster the set (a, c), (b, d), (e, f ), (g, i), (c, d), (h, i) in at least the fuzzy 2-means partition according to the placement of points. Find the membership degrees of fuzzy clusters after two or three iterations. Set m = 2.
Note: Please, make the electronic PDF (ONLY!) If you make scans of the pages written by hand then your handwriting should be visible and clear.
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