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Response to letter by D. F. Specht
1034
Letters to the Editor
Specht, D. F.( 1971). Series estimation of a probability density function. Technometrics, 13( 2), 409-424. Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks, 2(6), 568-576. Wang, L-X., & Mendel, J. M. ( 1992). Back propagation fuzzy system
as nonlinear dynamic system identifiers. Proceedings ojthe IEEE International Coriference on Fuzzy Systems, San Diego, CA, 14091418. Youssef, H. M. ( 1993). Comparison ofneural networks in nonlinear systemmodeling. Invited paper to be presented at World Congress on Neural Networks, Portland, OR, July 1993.
Response to Letter by D. F. Specht The primary purpose of this response is to express regret for the close similarity between Specht ( 1991) and our later paper (Schisler & Hartmann, 1992). If we had been aware of the existence of Specht ( 1991 ), we would have definitely referred to this work and even changed the content of our article (Schieler & Hartmann, 1992). Secondary, we wish to avoid any suspicion of plagiarism from our side. The original manuscript (Schieler & Hartmann, 1992) was, in August 1991, sent to former editor-in-chief of Neural Networks, Prof. Teuvo Kohonen in Helsinki, Finland. Dr. Donald Specht's work was published in IEEE Transactions on Neural Networks in November 1991, which proves the independence of our rediscovery. Two or more independent discoveries of a common result emphasizes its significance, and we agree with Dr. Specht, that the General Regression Neural Network based on Parzen Window Density Estimates is a
very promising method, allowing further developments in a variety of directions. Our present researches are concerned with the explorations of such developments, and we hope to be able to contribute originally in the near future. Henrik Schieler Dept. for Control Engineering Institute of Electronic Systems The University of Aalborg Denmark REFERENCES Schieler, H., & Hartmann, U. (1992). Mapping neural network derived from the parzen window estimator. Neural Networks, 5, 903909. Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks. 2(6), 568-576.
Letters to the Editor
Specht, D. F.( 1971). Series estimation of a probability density function. Technometrics, 13( 2), 409-424. Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks, 2(6), 568-576. Wang, L-X., & Mendel, J. M. ( 1992). Back propagation fuzzy system
as nonlinear dynamic system identifiers. Proceedings ojthe IEEE International Coriference on Fuzzy Systems, San Diego, CA, 14091418. Youssef, H. M. ( 1993). Comparison ofneural networks in nonlinear systemmodeling. Invited paper to be presented at World Congress on Neural Networks, Portland, OR, July 1993.
Response to Letter by D. F. Specht The primary purpose of this response is to express regret for the close similarity between Specht ( 1991) and our later paper (Schisler & Hartmann, 1992). If we had been aware of the existence of Specht ( 1991 ), we would have definitely referred to this work and even changed the content of our article (Schieler & Hartmann, 1992). Secondary, we wish to avoid any suspicion of plagiarism from our side. The original manuscript (Schieler & Hartmann, 1992) was, in August 1991, sent to former editor-in-chief of Neural Networks, Prof. Teuvo Kohonen in Helsinki, Finland. Dr. Donald Specht's work was published in IEEE Transactions on Neural Networks in November 1991, which proves the independence of our rediscovery. Two or more independent discoveries of a common result emphasizes its significance, and we agree with Dr. Specht, that the General Regression Neural Network based on Parzen Window Density Estimates is a
very promising method, allowing further developments in a variety of directions. Our present researches are concerned with the explorations of such developments, and we hope to be able to contribute originally in the near future. Henrik Schieler Dept. for Control Engineering Institute of Electronic Systems The University of Aalborg Denmark REFERENCES Schieler, H., & Hartmann, U. (1992). Mapping neural network derived from the parzen window estimator. Neural Networks, 5, 903909. Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks. 2(6), 568-576.