Neural network forecasts of singapore property stock returns using accounting ratios
Neural network forecasts of singapore property stock returns using accounting ratios
... NEURAL NETWORK FORECASTS OF SINGAPORE PROPERTY STOCK RETURNS USING ACCOUNTING RATIOS LIU JIAFENG (M.SC) A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF SCIENCE (ESTATE MANAGEMENT) DEPARTMENT OF ... concern Singapore property stocks instead of all Singapore stocks And due to the data availability, this work only includes 13 of 20 Singapore property stocks The other Singapore property stocks ... forecast of Singapore property stock returns by neural networks with that by traditional regressions using accounting ratios as input variables This work is the first to use neural networks to...
- 121
- 116
- 0
Báo cáo khoa học: "Neural Network Recognition of Spelling Errors" docx
... beginning of words cause much greater problems than errors at the etad of words 1.1 Fixed-Length Letter Buffers The most common method of representing letters is in a buffer containing a set number of ... variables, FLLB type and local/distributed, for each of four types of error A test corpus of similarly-spelled words was developed from a list of American English homophones (Antworth 1993) Homophone ... distributed) The local method uses l of 26 nodes for each letter (total of 364 nodes), while the distributed method uses of I nodes for each letter (total of 154 nodes), with no more than two...
- 3
- 272
- 0
Báo cáo nghiên cứu khoa học: " NEURAL NETWORK CONTROL OF PNEUMATIC ARTIFICIAL MUSCLE MANIPULATOR FOR KNEE REHABILITATION" pps
... Kohonen-type neural network was used for the position control of robot end-effector within cm after learning [7] Recently, the authors have developed a feed forward neural network controller and ... in Fig In the experiment of the proposed controller, the initial values of Kp, Ki and Kd are set to be the same of the control parameters of PID controller The purpose of this experiment is to ... error of 1[0][8] An intelligent control using a neuro-fuzzy network was proposed by Iskarous and Kawamura [9] A hybrid network that combines fuzzy and neural network was used to model and control...
- 14
- 430
- 0
Adaptive control and neural network control of nonlinear discrete time systems
... in discrete- time adaptive control Though for adaptive control of linear continuous -time systems, there are lots of counterpart results for linear discrete- time systems, adaptive control of nonlinear ... in adaptive control and NN control made for nonlinear continuous -time systems and there is considerable lag in the development 1.1 Adaptive Control of Nonlinear Systems for nonlinear discrete- time ... processes in discrete- time for ease of control design Thus, adaptive control and NN control of nonlinear discrete- time system deserve deeply further investigation The remainder of this Chapter...
- 217
- 255
- 0
Adaptive neural network control of discrete time nonlinear systems
... organization of this thesis are presented in Sections 1.2, 1.3 and 1.4 respectively 1.1 Adaptive Neural Network Control of Nonlinear Systems 1.1 1.1.1 Adaptive Neural Network Control of Nonlinear Systems ... List of Figures ix List of Tables xii Introduction 1.1 Adaptive Neural Network Control of Nonlinear Systems 1.1.1 Neural Networks 1.1.2 Adaptive NN Control of Continuous -time ... modelling and control of nonlinear systems For neural network controller design of general nonlinear systems, several researchers have suggested to use neural networks as emulators of inverse systems...
- 190
- 401
- 0
Tài liệu Handbook of Neural Network Signal Processing P2 docx
... P22 P22 · ν1 − P12 · ν2 , t P22 · Q1 − P12 · Q2 I ν1 I , t = √ =√ 2 P22 P11 · P22 − P12 P22 P11 · P22 − P12 (2.22) Then C12 − C22 = 2 P11 P22 Q2 − P22 Q2 + P22 P12 Q1 Q2 − P12 Q2 2 P22 P11 P22 ... Overview of the Handbook This handbook is organized into three complementary parts: neural network fundamentals, neural network solutions to statistical signal processing problems, and signal processing ... definition of signal processing is the Field of Interests statement of the IEEE (Institute of Electrical and Electronics Engineering) Signal Processing Society, which states that signal processing...
- 20
- 461
- 0
Tài liệu Handbook of Neural Network Signal Processing P1 ppt
... currently associate editor of the Journal of VLSI Signal Processing He is a founding member of the Neural Network Signal Processing Technical Committee of the IEEE Signal Processing Society and served ... chapter provides an overview of the topic of this handbook — neural networks for signal processing The chapter first discusses the definition of a neural network for signal processing and why it is ... Processing Technical Committee of the IEEE Signal Processing Society He served as the chairman of the Neural Networks Signal Processing Technical Committee of the IEEE Signal Processing Society from...
- 30
- 466
- 0
The effect of interest rate changes on bank stock returns doc
... represents the return on the market debt index Stone's adaptation of the CAPM suggests that interest rate impacts on returns may be positive or negative depending on the nature of the interest rate ... impact of these cash rate changes, by examining the average abnormal and the cumulative abnormal returns of the common stock prices of non-financial stocks using an index of their daily returns ... decreases in the cash rate target have a significant and positive effect on bank stock returns consistent with the established theory We also analyzed the effects of these returns on non-financial...
- 16
- 567
- 0
The sensitivity of bank stock returns to market, interest and exchange rate risks docx
... Estimation of bank stock returns 1001 of factor risk premia For the sample of banks used in this study the above analysis establishes the significance of the sensitivity of bank stock returns to the ... multifactor index model to examine empirically the joint sensitivity of the rates of return of common stocks of large US banking institutions to interest rate, exchange rate and market risk factors ... vector of the nominal rate of stock returns at time t, E is a vector of expected stock returns at time t, F is a vector of risk factors with mean zero and unitary variance, S is a matrix of the...
- 22
- 331
- 0
Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
... for part -of- speech tagging In Proc Conf on Empirical Methods in Natural Language Processing, pages 133–142, Univ of Pennsylvania, PA Adwait Ratnaparkhi 1999 Learning to parse natural language ... criteria the neural networks are trained to optimize Two of the neural networks are trained using the standard maximum likelihood approach of optimizing the same probability which they are estimating, ... paper has also proposed a neural network training method which optimizes a discriminative criteria even when the parameters being estimated are those of a generative probability model This training...
- 8
- 408
- 0
landscape image of regional tourism classification using neural network
... (m=4,n=5,L=3) for landscape image of regional tourism classification Thus, MANN model in this case has four SNN(s) and one GF consisting of three CNN(s) The ith (i=1 4) feature vector of an image will ... pattern classification Now we apply improvement MANN model for landscape image of regional tourism classification In fact this is an experimental setup with (m=4,n=5,L=3) The training image set ... of pattern or image, n is the dimensions of the feature vector, and L is the number of classes This model applies for landscape image classification MANN model has m Sub -Neural Network SNNi (i=1...
- 5
- 307
- 0
a comparison of neural network architectures for
... global analysis and structural analysis As an example of the first category, we find techniques such as template matching, moment invariant, mathematical transforms (Fourier, Walsh, Hadamard, ... degree of correlation between a feature’s template and the input image A value of indicates that a feature template did not match the digit image; a value of indicates a complete match; and values ... Shannon’s entropy It is a statistical measurement of the capability of a feature to separate digit classes If the information measure of a feature is high, it indicates that the feature is able...
- 5
- 442
- 0
neural network for beginners (part 1 of 3) - codeproject
... awards for Zany Crazy code articles over the years Microsoft C# MVP 2 012 Codeproject MVP 2 012 Microsoft C# MVP 2 011 Codeproject MVP 2 011 Microsoft C# MVP 2 010 Codeproject MVP 2 010 Microsoft C# ... messages have been posted for this article Visit http://www .codeproject. com/Articles /16 419 /AI-NeuralNetwork -for- beginners- Part -1 - of- 3 to post and view comments on this article, or click here ... layer networks, let's dicuss those further: Single layer neural networks Single-layer neural networks (perceptron networks) are networks in which the output unit is independent of the others - each...
- 9
- 550
- 0
Từ khóa: adaptive recurrent neural network control of biological wastewater treatmenta neural network model of lexical organisationneural network classification of deletions and hybridsartificial neural network models of sports motionsneural network retrievals of atmospheric temperature and moisture profiles from high resolution infrared and microwave sounding dataextensions of recurrent neural network based language modelextensions of recurrent neural network language modelthe role of the hidden layers in a neural networkextensions of recurrent neural network language model pdfdiscriminative training of a neural network statistical parsercomputational fluid dynamics and neural network for modeling and simulations of medical devicescomparison of two optimization neural network modelsdetermining the mode of stock returnsa study of the biological plausible neural network modelwavelet neural network control for maximization of energy capture in grid connected variable speNghiên cứu sự biến đổi một số cytokin ở bệnh nhân xơ cứng bì hệ thốngBáo cáo quy trình mua hàng CT CP Công Nghệ NPVchuyên đề điện xoay chiều theo dạngNghiên cứu sự hình thành lớp bảo vệ và khả năng chống ăn mòn của thép bền thời tiết trong điều kiện khí hậu nhiệt đới việt namNghiên cứu tổ chức pha chế, đánh giá chất lượng thuốc tiêm truyền trong điều kiện dã ngoạiNghiên cứu tổ hợp chất chỉ điểm sinh học vWF, VCAM 1, MCP 1, d dimer trong chẩn đoán và tiên lượng nhồi máu não cấpNghiên cứu vật liệu biến hóa (metamaterials) hấp thụ sóng điện tử ở vùng tần số THzBiện pháp quản lý hoạt động dạy hát xoan trong trường trung học cơ sở huyện lâm thao, phú thọPhối hợp giữa phòng văn hóa và thông tin với phòng giáo dục và đào tạo trong việc tuyên truyền, giáo dục, vận động xây dựng nông thôn mới huyện thanh thủy, tỉnh phú thọNghiên cứu, xây dựng phần mềm smartscan và ứng dụng trong bảo vệ mạng máy tính chuyên dùngThơ nôm tứ tuyệt trào phúng hồ xuân hươngThiết kế và chế tạo mô hình biến tần (inverter) cho máy điều hòa không khíChuong 2 nhận dạng rui roGiáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtGiáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtGiáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtGiáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtBÀI HOÀN CHỈNH TỔNG QUAN VỀ MẠNG XÃ HỘIĐổi mới quản lý tài chính trong hoạt động khoa học xã hội trường hợp viện hàn lâm khoa học xã hội việt namTÁI CHẾ NHỰA VÀ QUẢN LÝ CHẤT THẢI Ở HOA KỲ