A novel model of land suitability evaluation is built based on computational intelligence (CI). A fuzzy neural network (FNN) is constructed by the integration of fuzzy logic and artificial neural network (ANN). The st...A novel model of land suitability evaluation is built based on computational intelligence (CI). A fuzzy neural network (FNN) is constructed by the integration of fuzzy logic and artificial neural network (ANN). The structure and process of this network is clear. Fuzzy rules (knowledge) are expressed in the model explicitly, and can be self-adjusted by learning from samples. Genetic algorithm (GA) is employed as the learning algorithm to train the network, and makes the training of the model efficient. This model is a self-learning and self-adaptive system with a rule set revised by training.展开更多
Through the establishment of music teaching effect evaluation model and the multimedia courseware evaluation model, which can effectively avoid the influence of subjective evaluation, the evaluation process will be si...Through the establishment of music teaching effect evaluation model and the multimedia courseware evaluation model, which can effectively avoid the influence of subjective evaluation, the evaluation process will be simple and objective. Through the issuance of assessment questionnaire, each index is divided into four grades of excellent, good, poor, according to percentile scoring, the score of every index multiply corresponding weight, and then addition, and finally we can obtain the evaluation results.展开更多
基金Funded by the Open Research Fund Program of GIS Laboratory of Wuhan University (No. wd200609).
文摘A novel model of land suitability evaluation is built based on computational intelligence (CI). A fuzzy neural network (FNN) is constructed by the integration of fuzzy logic and artificial neural network (ANN). The structure and process of this network is clear. Fuzzy rules (knowledge) are expressed in the model explicitly, and can be self-adjusted by learning from samples. Genetic algorithm (GA) is employed as the learning algorithm to train the network, and makes the training of the model efficient. This model is a self-learning and self-adaptive system with a rule set revised by training.
文摘Through the establishment of music teaching effect evaluation model and the multimedia courseware evaluation model, which can effectively avoid the influence of subjective evaluation, the evaluation process will be simple and objective. Through the issuance of assessment questionnaire, each index is divided into four grades of excellent, good, poor, according to percentile scoring, the score of every index multiply corresponding weight, and then addition, and finally we can obtain the evaluation results.
