Lin, CT & Lee, CSG 1995, 'On the Structure and Learning of Neural-Network-Based Fuzzy Logic Control Systems' in Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems, Springer Netherlands, pp. 67-80.
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Catchpoole, DR & Stewart, BW 1995, 'Formation of Apoptotic Bodies Is Associated with Internucleosomal DNA Fragmentation during Drug-Induced Apoptosis', Experimental Cell Research, vol. 216, no. 1, pp. 169-177.
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The onset of apoptosis is often coincident with internucleosomal DNA fragmentation or ladders which are considered a hallmark of the process. However, several studies have indicated that MOLT-4 human lymphoblastoid cells exposed to various agents, including VP16, display some apoptotic characteristics in the absence of either internucleosomal ladders or production of apoptotic bodies. The present study records that, in the presence of aurintricarboxylic acid (ATA), internucleosomal ladders were detected in DNA isolated from VP16-treated MOLT-4 cells; a paradoxical result in view of inhibition by ATA of nuclease activity in cell free preparations. The activity of ATA in mediating genomic fragmentation was dose- and time-dependent. Moreover, addition of ATA to VP16-treated MOLT-4 cells also resulted in production of apoptotic bodies, this effect being quantified by morphological examination and flow cytometry. Detection of ladders and apoptotic bodies after addition of ATA was not attributable to increased toxicity in cells exposed to the combined treatment relative to VP16 alone. A similar response, that is the appearance of both internucleosomal fragmentation and apoptotic bodies, occurred after exposure of MOLT-4 cells to the mitotic inhibitor podophyllotoxin. The consistent association between internucleosomal fragmentation of DNA and formation of apoptotic bodies exhibited during death of MOLT-4 cells, insofar as both characteristics are either present or absent following different agents, suggests interdependence. © 1995 Academic Press, Inc.
Chin-Teng Lin & Ya-Ching Lu 1995, 'A neural fuzzy system with linguistic teaching signals', IEEE Transactions on Fuzzy Systems, vol. 3, no. 2, pp. 169-189.
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LIN, C-J & LIN, C-T 1995, 'ADAPTIVE FUZZY CONTROL OF UNSTABLE NONLINEAR SYSTEMS', International Journal of Neural Systems, vol. 06, no. 03, pp. 283-298.
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This paper addresses the structure and an associated on-line learning algorithm of a feedforward multilayer connectionist network for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed Fuzzy Adaptive Learning Control Network (FALCON) can be contrasted with the traditional fuzzy logic control systems in their network structure and learning ability. An on-line structure/parameter learning algorithm, called FALCON-ART, is proposed for constructing the FALCON dynamically. The FALCON-ART can partition the input/output space in a flexible way based on the distribution of the training data. Hence it can avoid the problem of combinatorial growing of partitioned grids in some complex systems. It combines the backpropagation learning scheme for parameter learning and the fuzzy ART algorithm for structure learning. More notably, the FALCONART can on-line partition the input/output spaces, tune membership functions, and find proper fuzzy logic rules dynamically without any a priori knowledge or even any initial information on these. The proposed learning scheme has been successfully used to control two unstable nonlinear systems. They are the seesaw system and the inverted wedge system.
Lin, C-T 1995, 'A neural fuzzy control system with structure and parameter learning', Fuzzy Sets and Systems, vol. 70, no. 2-3, pp. 183-212.
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Lin, CT & Lee, CSG 1995, 'A multi-valued Boltzmann machine', IEEE Transactions on Systems, Man, and Cybernetics, vol. 25, no. 4, pp. 660-669.
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Lin, C-T, Lin, C-J & Lee, CSG 1995, 'Fuzzy adaptive learning control network with on-line neural learning', Fuzzy Sets and Systems, vol. 71, no. 1, pp. 25-45.
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Wang, J, Xu, G & Wang, N 1995, 'Mathematical model for calculating the flux of laser scattering by single particle in arbitrary directions', Yingyong Jiguang/Applied Laser Technology, vol. 15, no. 2, pp. 79-78.
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A formula for calculating the scattered light intensity from a single particle by using the Mie's theory was derived here, and based on which, the scattered light-flux in a certain solid-angle in arbitrary direction was further obtained to correct the mistake occuring in the expression on the light-flux existed in one of the references listed.
Ying, M 1995, 'Institutions of variable truth values: An approach in the ordered style.', J. Comput. Sci. Technol., vol. 10, no. 3, pp. 267-273.
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The concept of institution of variable truth values is introduced and some main results about institutions are generalized. In particular, some properties of institutions of variable truth values preserved by change of truth values are established. © 1995, Science Press, Beijing China and Allerton Press Inc.. All rights reserved.
Ying, M 1995, 'Putting consistent theories together in institutions.', J. Comput. Sci. Technol., vol. 10, no. 3, pp. 260-266.
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The problem of putting consistent theories together in institutions is discussed. A general necessary condition for consistency of the resulting theory is carried out, and some sufficient conditions are given for diagrams of theories in which shapes are tree bundles or directed graphs. Moreover, some transformations from complicated cases to simple ones are established. © 1995, Science Press, Beijing China and Allerton Press Inc.. All rights reserved.
Cheng-Jian Lin & Chin-Teng Lin 1970, 'Reinforcement learning for ART-based fuzzy adaptive learning control networks', Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, IEEE, YOKOHAMA, JAPAN, pp. 1299-1306.
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Chin-Teng Lin, Cheng-Jian Lin & I-Fang Chung 1970, 'Neural fuzzy control of unstable nonlinear systems', 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, IEEE, VANCOUVER, CANADA, pp. 3666-3671.
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Hwai-Tsu Chang, Jyuo-Min Shyu, Chin-Teng Lin, Chen, OT-C, Hsi-Jou Deng, Wei-Juin Chen, Shyh-Rong Luo, Yeh-Rong Hsu, Yao-Chou Lu & Hong-Ching Shyu 1970, 'A pipelined fuzzy reasoning processor with software development system and its application on the crane control problem', 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, IEEE, pp. 3658-3665.
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Fuzzy reasoning processors have been employed in many commercial and industrial applications. A high-performance pipelined, single-instruction-stream, and single-data-stream architecture of fuzzy reasoning engine has been designed. Based on this architecture, the proposed VLSI processor for embedded real-time fuzzy logic applications was fabricated in a 0.8-mm CMOS technology. Its computation power can reach 2.5 Million Fuzzy Logic Inferences Per Second (MFLIPS) at a system clock of 20 MHz. In order to efficiently realize fuzzy applications, a software development system under Microsoft Windows has also been designed. For the purpose of showing its effectiveness, we have carried out the experiments to successfully control the crane system. Experimental results have shown the efficient cooperative control of the proposed fuzzy reasoning processor with software development system and can be contrast with conventional computer software interface control.
Lister, R 1970, 'Error functions, error signals, and conjugate gradient back propagation', 4th International Conference on Artificial Neural Networks, 4th International Conference on Artificial Neural Networks, IEE, pp. 76-81.
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We propose a three-class taxonomy of error functions, based on the limit behaviour of the error signal. We classify four established error functions: the quadratic, Fahlman's Quickprop, entropy, and the exception error function. We introduce two new error functions, and benchmark all six on the N-2-N encoder. The two new functions found correct solutions faster and more reliably than the established functions.
Lister, R & Stone, JV 1970, 'Empirical study of the time complexity of various error functions with conjugate gradient back propagation', IEEE International Conference on Neural Networks Conference Proceedings, pp. 237-241.
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We describe an empirical comparison of the scaling behaviour of six error functions, on a conjugate gradient form of Back Propagation. We classify the functions according to the limit behaviours of their respective error signals, as the target value and the actual output value approach opposite extremes. These limit behaviours are zero limit, finite limit, and infinite limit. Despite such a wide divergence in their limit behaviours, we find that all six error functions exhibit a median run-time order of approximately O(N 4) on the N-2-N encoder. This result indicates that, while some factors affecting the scaling behaviour of standard and conjugate gradient Back Propagation have been previously identified (such as saturation), other factors remain unidentified.
