paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 271 Publisher: Science Press Pub. Date :2008-1-1. Intelligence Science is that it greatly expands the scope of science and technology. The book analyzes how a new perspective to solve the original calculation method of the main intelligence professionals with experience in the production of highly complex to solve practical problems. examine the basic principles of computational intelligence. concepts and ways to apply; focus on the fuzzy set expressing the human product of the formula the feeling of quality assessment. assessment of sensory neural network simulation. fuzzy c-means clustering method and Kohonen networks. support vector machine classification on the formulation of raw materials and correlation analysis. formulation optimization evolutionary computation. neural networks. fuzzy information optimization processing and model trees and other knowledge discovery methods. Products such as cigarettes and beer to formulations and drug formulations. for example. analysis of intelligent systems design and formulation development strategy. This book is concerned about the computational intelligence theory and practice of people and write. can be used as information science and technology disciplines and food. beverage. pharmaceutical and other professional teaching reference books. for the relevant business and technical personnel and managers to provide new ideas and methods. Contents: Preface Chapter 1 Introduction What is Computational Intelligence Section I. What is a smart two. smart science three. four computational intelligence and artificial intelligence. computational intelligence and Western fast design five empirical science and experience what is the science II a machine learning. learning: the core of two smart. what is the three machine learning. machine how to learn how to develop intelligent formula III system. an intelligent system of the target two formulations. three ways of system development. system development requirements of the second-to-business Chapter assess the quality of the product formulation section and feel the feeling of assessing product quality. sommelier two. three sensory systems and sensory evaluation. the impact of four cultural backgrounds. sexy thing to know the feeling of Science Section properties testing techniques A psychophysical study two. three and laboratory evaluation team to assess the way four problems faced sensory test complexity of the problem formulated in section III one composition of the complexity of the two materials. the complexity of environmental impact Third. the complexity of the formula in the western Fourth. what is complexity Fourth method of calculating the problems faced by the traditional one. less than two traditional mathematical methods. computational intelligence techniques using dynamic neural networks with Chapter III Section artificial sensory system sensory assessment of one sensor: simulation of biological sensory organs Second. the simulation of the first sensory system two artificial neural network one. what is the neural network two. the third quarter compared with other methods of multi-layer perceptron: a universal function approximator. MLP Second. the back-propagation (BP) learning algorithm is BP algorithm Section improvements in one. two adaptive learning parameters. activation function parameters adaptive Third. the learning curve with cross validation four regularization with the penalty term five. LMBP algorithm to optimize a network structure V. the network cut two neuron model Section VI to promote feeling of fuzzy sets and assessment of a simulation. two fuzzy sets. neural networks and fuzzy number three. section VII. simulation appraisers Turing test a radial basis function network. radial basis function method two. RBF network Chapter Knowledge Discovery and analysis of complex correlation statistical correlat. Seller Inventory # L98844

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