智能技術(shù)及其應(yīng)用——邵世煌教授論文集

Intelligent Techniques and Their Applications

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本文集收錄了邵世煌教授與其指導(dǎo)的研究生和博士后合作完成的典型研究成果和論文60余篇。本論文集以智能科學(xué)技術(shù)及其應(yīng)用為主線(xiàn)，內(nèi)容涉及模糊系統(tǒng)與控制、神經(jīng)網(wǎng)絡(luò)、遺傳算法、DNA計(jì)算與軟計(jì)算、混沌系統(tǒng)與控制、生物醫(yī)學(xué)系統(tǒng)建模與分析、生物信息學(xué)、機(jī)器人系統(tǒng)與控制、模糊隨機(jī)系統(tǒng)與分析、模糊離散事件系統(tǒng)、非線(xiàn)性系統(tǒng)與控制、電氣系統(tǒng)與控制、計(jì)算機(jī)集成制造系統(tǒng)、網(wǎng)絡(luò)信息處理與安全、數(shù)字化紡織服裝技術(shù)等研究領(lǐng)域的理論、技術(shù)與應(yīng)用方法。

本論文集理論密切結(jié)合實(shí)際，可供自動(dòng)控制、計(jì)算機(jī)應(yīng)用等相關(guān)學(xué)科的科研、教學(xué)與工程人員及研究生參考。 2100433B

本論文集以智能科學(xué)技術(shù)及其應(yīng)用為主線(xiàn)，內(nèi)容涉及模糊系統(tǒng)與控制、神經(jīng)網(wǎng)絡(luò)、遺傳算法、DNA計(jì)算與軟計(jì)算、混沌系統(tǒng)與控制、生物醫(yī)學(xué)系統(tǒng)建模與分析、生物信息學(xué)、機(jī)器人系統(tǒng)與控制、模糊隨機(jī)系統(tǒng)與分析、模糊離散事件系統(tǒng)、非線(xiàn)性系統(tǒng)與控制、電氣系統(tǒng)與控制、計(jì)算機(jī)集成制造系統(tǒng)、網(wǎng)絡(luò)信息處理與安全、數(shù)字化紡織服裝技術(shù)等研究領(lǐng)域的理論、技術(shù)與應(yīng)用方法。

正文語(yǔ)種: 簡(jiǎn)體中文

開(kāi)本: 16

ISBN: 7030232305, 9787030232304

條形碼: 9787030232304

尺寸: 24 x 17.6 x 3.2 cm

重量: 1 Kg

序

治學(xué)之路, 開(kāi)拓之道

(一)模糊系統(tǒng)與控制

[1] Fuzzy Self-Organizing Controller and Its Application for Dynamic Processes

[2] Comer Detection Using Fuzzy Sets

[3] Necessary Conditions on Minimal System Configuration for General MISO Mamdani Fuzzy Systems as Universal Approximators

[4] Comparison of Necessary Conditions for Typical Takagi-Sugeno and Mamdani Fuzzy Systems as Universal Approximators

[5] Typical Takagi-Sugeno PI and PD fuzzy controllers: analytical structures and sta- bility analysis

[6] Structure and Stability Analysis of a Takagi-Sugeno fuzzy PI controller with application to tissue hyperthermia therapy

[7] Takagi-Sugeno Fuzzy PID Gain-Scheduling Controllers

[8]解析模糊控制理論：模糊控制系統(tǒng)的結(jié)構(gòu)和穩(wěn)定性分析

[9]不同模糊邏輯下模糊控制器的解析結(jié)構(gòu)

(二)神經(jīng)網(wǎng)絡(luò)

[10]一個(gè)基于“類(lèi)神經(jīng)元”模型的智能控制系統(tǒng)及其在柔性臂上的應(yīng)用研究

[11]交通系統(tǒng)的模糊控制及其神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)

[12]采用遺傳算法學(xué)習(xí)的神經(jīng)網(wǎng)絡(luò)控制器

[13] A New Reinforcement Learning Method for Fuzzy Logic Controllers

(三)遺傳算法

[14]一種采用增強(qiáng)式學(xué)習(xí)的模糊控制系統(tǒng)研究

[15]基因算法及其在最優(yōu)搜索上的應(yīng)用

[16] Emergence of Self-Learning Fuzzy Systems by a New Vires DNA-Based Evolutionary Algorithm

(四)DNA計(jì)算與軟計(jì)算

117]DNA計(jì)算與軟計(jì)算

[18]采用DNA遺傳算法優(yōu)化設(shè)計(jì)的TS模糊控制系統(tǒng)

[19]DNA計(jì)算研究的現(xiàn)狀與展望

[20] Control of a Kind of Chaotic System Using Genetic Algorithm and Fuzzy Logic

(五)混沌系統(tǒng)與控制

[21)混沌系統(tǒng)的一種自學(xué)習(xí)模糊控制

[22]用遺傳算法引導(dǎo)混沌軌道

(六)生物醫(yī)學(xué)系統(tǒng)建模與分析

[23] A Dynamic Model for the p53 Stress Response Networks under Ion Radiation

[24] A Mathematical Model of p53 Gene Regulatory Networks under Radiotherapy

[25] Modeling of DSBs Generation and Repair Process under Ion Radiation

[26] Cellular Responding DNA Damage: An Improved Modeling of P53 Gene Regtilatory Networks under Ion Radiation (IR)

[27] A Probability Cellular Automaton Model for Hepatitis B Viral Infections

[28] A Novel Fingerprint Map for Detecting SARS-CoV

[29] An Application of Gene Comparative Image for Predicting the Effect on Replication Ratio by HBV Virus Gene Missense Mutation

[30] A Coordination Model of Gene'Sequences for SARS-CoV and its ReCeptor

(七)生物信息學(xué)

(八)機(jī)器人系統(tǒng)與控制

[31] Real-Time Fuzzy Control of Tissue Temperature During Laser Heating

[32] Using Pseudo Amino Acid Composition to Predict Protein Structural Classes: Approached with Complexity Measure Factor,

[33] Using cellular Automata Images and Pseudo Amino Acid Composition to Predict Protein Subcellular Location

[34] Particular Symmetry in RNA sequence of SARS and the Origin of SARS Cor- onavims..

[35] Using Pseudo Amino Acid Composition to Predict Protein Subcellular Location: Approached with Lyapunov Index, Bessel Function, and Chebyshev Filter

[36] Using Complexity Measure Factor to Predict Protein Subcellular Location

[37] Using Cellular Automata to Generate Image Representation for Biological Sequences

[38] Visualization of Gene Mutation Complicated Pattern of Hepatitis B Virus Based on Cellular Automata

[39]模糊環(huán)境的表示及機(jī)器人軌跡規(guī)劃

[40]多變地形下機(jī)器人路徑規(guī)劃

[41)一個(gè)環(huán)境知識(shí)的自學(xué)習(xí)方法

(九)模糊隨機(jī)系統(tǒng)與分析

[42] Doob's Stopping Theorem for Fuzzy (Super, Sub) Martingales with Discrete Time

[43] Analysis of Dynamical Systems Whose Inputs are Fuzzy Stochastic Processes

[44]含有模糊和隨機(jī)參數(shù)的混合機(jī)會(huì)約束規(guī)劃模型

(十)模糊離散事件系統(tǒng)

[45] The Application of Fuzzy Discrete Event Systems in Network Information Processing

[46] Supervisory Control of Fuzzy Discrete Event Systems Based on Agent

(十一)非線(xiàn)性系統(tǒng)與控制

[47]基于規(guī)則的模糊離散事件系統(tǒng)建模與控制研究

[48] A System Approach to the Design of Linear Phase IIR Filters via Optimal Hankel-Norm Criterion

[49]基于最優(yōu)HANKEL范數(shù)近似的線(xiàn)性相位皿濾波器設(shè)計(jì)

(十二)電氣系統(tǒng)與控制

[50] Study of Variable Step Size LMS Adaptive Algorithm Based on Variable Region

[51)自適應(yīng)逆控制的異步電機(jī)變頻調(diào)速系統(tǒng)研究

[52]帶有神經(jīng)網(wǎng)絡(luò)估計(jì)器的模糊直接轉(zhuǎn)矩控制

(十三)計(jì)算機(jī)集成制造系統(tǒng)

[53] Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System

[54] An Order-oriented Procedure Model for A Robust and Agile Production System

[55] New Hash Function Based on Nonlinear Method

[56] Data Flow Fuzzy Control of Communication Network with Finite Terminal

(十四)網(wǎng)絡(luò)信息處理與安全

[58] Application of FAHP and Artificial Neural Network on Clothing Plant Location

[59] Generation of Strange Attractor Images with Genetic Algorithm

[60]采用元胞自動(dòng)機(jī)機(jī)理的針織電腦編織系統(tǒng)

(十六)其他

[61] Fault-tolerant Strategies and Their Design Methods for Application Software

[62] Segmentized Optimization Strategy for Predictive Control

[63]語(yǔ)詞計(jì)算中的廣義模糊約束及其傳播研究

后記2100433B