neural networks fuzzy logic and genetic algorithms ebook

... Trang 1U SING NEURAL NETWORKS AND GENETIC ALGORITHMS TO PREDICT STOCK MARKET RETURNS A THESIS SUBMITTED TO THE UNIVERSITY OF ... discuss here are: The Nearest Neighbor and the Neural Networks Techniques Both of these methods have been applied to market prediction; particularly for Neural Networks there is a rich literature ... daily and monthly prediction of the Standard and Poor Composite Index (S&P 500) excess returns were attempted by Chenoweth and Obradovich [13] The daily data used starts from 1 Jan 1985 and

Ngày tải lên: 14/07/2018, 10:25

... Trang 1U SING NEURAL NETWORKS AND GENETIC ALGORITHMS TO PREDICT STOCK MARKET RETURNS A THESIS SUBMITTED TO THE UNIVERSITY OF ... discuss here are: The Nearest Neighbor and the Neural Networks Techniques Both of these methods have been applied to market prediction; particularly for Neural Networks there is a rich literature ... daily and monthly prediction of the Standard and Poor Composite Index (S&P 500) excess returns were attempted by Chenoweth and Obradovich [13] The daily data used starts from 1 Jan 1985 and

Ngày tải lên: 11/09/2018, 14:09

... gradient descent algorithms In Refenes, A P Neural networks in the capital markets England: John Wiley & Sons Ltd, pp 127-136 [5] White H (1993) Economic prediction using neural networks: The case ... Archimandrite Nikiforo Asprogeraka for his psychological and financial support Last but not least I would like to thank my University teachers Panagioti Rodogiani and Leonida Palio for their help and ... USING NEURAL NETWORKS AND GENETIC ALGORITHMS TO PREDICT STOCK MARKET RETURNS A THESIS SUBMITTED TO THE UNIVERSITY OF

Ngày tải lên: 13/12/2018, 16:05

... by neural networks and both were better than the model based on genetic algorithms This study did not aim at a more detailed approach of the techniques focused Neural networks and genetic algorithms ... Regression, Neural Networks and Genetic Algorithms Finally, the quality and performance of these models are evaluated and compared to identify the best Results obtained by the logistic regression and neural ... models of logistic regression and neural network and were somewhat lesser for the model of genetic algorithms Another interesting result is that, except for genetic algorithms, the models presented

Ngày tải lên: 13/10/2022, 15:46

... only on the local information and where the goal is to model the population evolution rather than an indi-vidual agent’s reasoning process Genetic algorithms Genetic algorithms represent a class ... locally run FGA and the spatial game set up among it and the nodes in its neighborhood NSEG is a good candidate for the node spreading class of applications used in both military tasks and commercial ... search algorithms for such problems look for a result in an entire search space by either sampling randomly (e.g., random walk) or heuristically (e.g., hill climbing, gradient decent, and others)

Ngày tải lên: 13/01/2020, 02:41

... processing Fuzzy logic and genetic al are proved to be very compatible with Manet A genetic algorithm (GA) is used to choose optimized clusters, Fuzzy logic is applied to choose the cluster head and ... fuzzy logic: To overcome the shortcomings of the traditional logic, Lotfi Zadeh has proposed one new theory of logic called fuzzy logic Zadeh's theory represented the fuzzy or inaccuracy of logical ... It is easy to use fuzzy logic to choose cluster head and cluster members for each subnet Use genetic al to build an optimized multicast tree for its data transmission 2 FUZZY LOGIC 2.1 Concept

Ngày tải lên: 10/02/2020, 01:05

... paper “Fuzzy sets, Information and Control 8 (1965)”, Fuzzy sets were introduced to model the meaning of linguistic terms of natural languages - Allow manipulate and process fuzzy, uncertain and ... Overview + Fuzzy Sets Operations Given fuzzy sets A and B Trang 112 Fuzy Sets: An Overview Cartesian Product: AB AB (u) = A(u)  A(u) + Fuzzy Sets representing logical connectives Given fuzzy ... Reasoning E.g in fuzzy control one can model a dependency between physical variables X j and Y linguistically: If X 1 = A 11 and and X m = A 1m then Y = B 1 . If X 1 = A n1 and and X m =

Ngày tải lên: 01/07/2014, 12:33

... 4.3.2 Fuzzy Inference and Function Approximation 74 4.3.3 Fuzzy Indices and Evaluation of Environmental Conditions 77 4.4 The Neural-Fuzzy Approach 78 4.4.1 Genetic Algorithms in Designing Fuzzy ... connectionist-symbolic models, evolutionary neural networks, genetic fuzzy systems, rough fuzzy hybridization, and reinforcement learning with fuzzy, neural, or evolutionary methods, and symbolic reasoning methods ... nets and their logical representation of neural prop-erties, detailed schematics of logic functions, and valuable commentary and historical remarks on McCulloch–Pitts and related neural networks

Ngày tải lên: 14/03/2018, 15:08

... Method Genetic algorithms (GA) are iterative search procedures that work based on the biological process of natural selection and genetic inheritance, which maintain a population of a number of candidate ... with fuzzy logic controller (FLCHGA) to solve the resource-constrained multiple project scheduling problem (RC-MPSP) The proposed approach worked based on using genetic operators with fuzzy logic ... hybrid greedy and genetic algorithms Aidin Delgoshaei*, Mohd Khairol Mohd Ariffin, B T Hang Tuah Bin Baharudin and Zulkiflle Leman University Putra Malaysia, Department of Mechanical and Manufacturing

Ngày tải lên: 14/05/2020, 21:55

... vital to the understanding of genetic algorithms to Trang 23CLASSIFIER SYSTEMS AND GENETIC ALGORITHMS 257 know that even the simplest versions act much more subtly than "random search with ... discovery system discussed here employs genetic algorithms Section 6 discusses genetic algorithms Section 7 relates the procedures implicit in genetic algorithms to some better-known machine ... understanding adaptive processes (and learning) turned into a theoretical study of genetic algorithms This study was summarized in a book titled Adaptation in Natural and Artificial Systems (Holland

Ngày tải lên: 14/09/2020, 20:31

... Trang 1LOGIC MỜ VÀ ỨNG DỤNG(Fuzzy logic and applications) NGUYỄN CÔNG HÀO Ban Khoa học và Công nghệ - Đại học Huế Số ... 4TÀI LIỆU THAM KHẢO[1] Timothy J Ross, Fuzzy logic with engineering Applications, University of New Mexico, USA, 2004 [2] N.C.Ho, N.C.Hao, Giáo trình Logic mờ và ứng dụng, 2009 (dành cho ... chuyên gia, hệ luật trong điều khiển thường có các luật dạng sau đây: Nếu X 1 =A 1 ~ and X 2 =A 2 ~ and … and X n =A n ~ thì Y = B~ trong đó các X i là các biến ngôn ngữ và A i là các tập mờ

Ngày tải lên: 19/04/2022, 06:50

... Sensor Networks (DC-WSN) In DC-WSN, nodes can switch between active and dormant states to save energy This problem has proved to be NP-hard This paper proposes a heuristic algorithm and a genetic ... problem We compare the proposed algorithms with TCS - the best known algorithm - by means of simulation on four typical WSN topologies Experimental results show that our algorithms significantly outperform ... outperform TCS in terms of minimizing the energy cost. Keywords Wireless sensor networks, multicast, minimum-energy, heuristic, genetic algorithm. 1 GIỚI THIỆU Hiện nay, mạng cảm biến không dây đang được

Ngày tải lên: 06/12/2022, 09:23

... influences fuzzy logic.The term "fuzzy" was also used to describe ambiguity and unclear information As a result, fuzzy logic can describe and manipulate ambiguous and uncertain data,and it ... q-learning,and fuzzy logic • Chapter 4 presents the proposed algorithms, which are comprised of the fuzzylogic Q-learning approach • Chapter 5 evaluates and compares the performance of the proposed algorithmswith ... use Fuzzy logic in an algorithm for adaptively determining thecharging threshold and deciding the charging schedule Different from the others, Iuse Fuzzy logic and Q-learning in my unique Fuzzy

Ngày tải lên: 03/06/2023, 08:24

... influences fuzzy logic The term "fuzzy" was also used to describe ambiguity and unclear information As a result, fuzzy logic can describe and manipulate ambiguous and uncertain data, and it ... use Fuzzy logic in an algorithm for adaptively determining the charging threshold and deciding the charging schedule Different from the others, I use Fuzzy logic and Q-learning in my unique Fuzzy ... 1TIANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY Master’s Thesis in Data Science and Artificial Intelligence An Efficient, On-demand Charging for WRSNs Using Fuzzy Logic and Q-Learning La Van Quan

Ngày tải lên: 09/06/2025, 12:51

... 1TIANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY Master’s Thesis in Data Science and Artificial Intelligence An Efficient, On-demand Charging for WRSNs Using Fuzzy Logic and Q-Learning La Van Quan ... ‘An Bificlent, On-demand Charging for WRSNs Using Fuzzy Logic and Q-Learning", is the work of myself and my supervisor Dr Nguycn Phi Le All papers, sources, tables, and so on used in this ... Artificial Intelligence 2 "Topic An Efficient, On-demand Charging for WRSNs Using urzy Logic and Q-Tearning 3 Contributions © Propose « Fuzzy logic-based algorithm that determines the energy level

Ngày tải lên: 22/06/2025, 01:37

... by using neural network and genetic algorithms This work is organized as follows In section 1, we deal with the presentation of some elements of the portfolio Neural network and genetic algorithms ... the VaR of Shares Portfolio using Genetic Algorithms and Neural Network 4.1 Genetic Algorithms (GA) A genetic algorithm was originally developed by John Holland It is an algorithm Iterative for ... further the VaR 4.3 Neural Networks (NN) 4.3.1 Definition of neural networks The neural networks (NN) are mathematical models inspired by the structure and behavior of biological neurons They

Ngày tải lên: 01/02/2020, 23:01

... Jain and J Mao, Eds., “Special issue on artificial neural networks and statistical pattern recognition,” IEEE Transactions on Neural Networks, vol 8, no 1, 1997 [12] A Baraldi and ... “Probabilistic neural networks, ” Neural Networks, vol 3,... no 1, pp 109–118, 1990 Bearing Fault Detection Using ANN and GA [17] P D Wasserman, Advanced Methods in Neural Computing, ... universal approximators,” Neural Networks, vol 2, no 5, pp 359–366, 1989 [15] J Park and I W Sandberg, “Universal approximation using radial-basis-function networks, ” Neural Computation,

Ngày tải lên: 23/06/2014, 01:20

... Judgment: Fuzzy Set Model and Data Analysis  From Fuzzy Datalog to Multivalued Knowledge-Base  Resolution Principle and Fuzzy Logic  Standard Fuzzy Sets and Some Many-Valued Logics  Parametric ... namely: 1 Hybrid Fuzzy Logic Algorithms 2 Techniques and Implementation In section one, there are seven chapters that focus on hybrid fuzzy logic algorithms and methodology:  Ambiguity and Social ... Trang 1FUZZY LOGIC – ALGORITHMS, TECHNIQUES AND IMPLEMENTATIONS Edited by Elmer P Dadios     Trang 2Fuzzy Logic – Algorithms, Techniques and Implementations Edited by

Ngày tải lên: 27/06/2014, 00:20