Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient (...) descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network, the wavelet neural network, and the neural network. The results indicate that the FWNN made effective use of the self-adaptability of NN, the uncertainty capacity of FL, and the partial analysis ability of WT, so it could handle the fluctuation and the nonseasonal time series data of water quality, while exhibiting higher estimation accuracy and better robustness and achieving better performances for predicting water quality with high determination coefficients R2 over 0.90. The FWNN is feasible and reliable for simulating and predicting water quality in river. (shrink)
This book is a translation of a key commentary on the Book of Changes, or Yijing, perhaps the most broadly influential text of classical China. The Yijing first appeared as a divination text in Zhou-dynasty China and later became a work of cosmology, philosophy, and political theory as commentators supplied it with new meanings. While many English translations of the Yijing itself exist, none are paired with a historical commentary as thorough and methodical as that written by the Confucian scholar (...) Cheng Yi, who turned the original text into a coherent work of political theory. (shrink)
The New Chinese philosophy should face the main issues in traditional philosophy and modern philosophy. The biggest issue in traditional Chinese philosophy during the last 800 years is Xing (Nature) is Li 性即理 or Xin (Mind) is Li 心即理. The biggest issue in modern Western philosophy is how to fortify value in thisera of knowledge explosion. This paper tries to do some exploration on these issues through reconstruction the Chinese metaphysics. It puts forward a theory of Four Substances 四體說. The (...) so called Four Substances include Yi Ti 易體 or the substance of Yi, Xing Ti 性體 or the substance of Nature, Xin Ti 心體 or the substance of Mind, and Dao Ti 道體 or the substance of the Way. The sphere of Yi 易 is the origin of the universe and the root of the world. The substance of Yiis formed by three fundamental cosmic ideas or energies, namely Zhi 恉 or meaning, Li 理 or reason or principle, and Qi 氣 or matter. Zhi 恉 is the being of Value and meaning. Li 理is the being of knowledge. Zhi 恉 and Li 理 are forms, and Qi 氣 is matter. Yi Ti 易體 or the substance of Yi is an inexhaustible value source. Just like Confucianism has developed its Dao or the Way and Orthodoxy, other value systems in the world have also developed their own Dao or the Way and Orthodoxy. (shrink)
In this paper, the stability of switched neural networks with interval parameter uncertainties and time delays is investigated. First, the conditions for the existence and uniqueness of the equilibrium point of the system are discussed. Second, the average dwell time approach and M-matrix property are employed to obtain conditions to ensure the globally exponential stability of the delayed SNNs under constrained switching. Third, by resorting to inequality technique and the idea of vector Lyapunov function, sufficient condition to ensure the robust (...) exponential stability of the delayed SNNs under arbitrary switching is derived. The form of the constructed Lyapunov functions is simple, which has certain commonality in studying delayed SNNs, and the proposed results not only are explicit but also reveal the relationship between the constrained switching and the arbitrary switching of the SNNs. Finally, two numerical examples are presented to illustrate the effectiveness and less conservativeness of the main results compared with the existing literature. (shrink)
In this paper, dynamic behavior analysis has been discussed for a class of switched complex-valued neural networks with interval parameter uncertainties and impulse disturbance. Sufficient conditions for guaranteeing the existence, uniqueness, and global robust exponential stability of the equilibrium point have been obtained by using the homomorphism mapping theorem, the scalar Lyapunov function method, the average dwell time method, and M-matrix theory. Since there is no result concerning the stability problem of switched neural networks defined in complex number domain, the (...) stability results we describe in this paper generalize the existing ones. The effectiveness of the proposed results is illustrated by a numerical example. (shrink)
