This paper attempts to trace the influence of Jorge Luis Borges on Ge Fei. It shows that Ge Fei＇s stories share Borges＇s narrative form though they do not have the same philosophical premises as Borges＇s to support...This paper attempts to trace the influence of Jorge Luis Borges on Ge Fei. It shows that Ge Fei＇s stories share Borges＇s narrative form though they do not have the same philosophical premises as Borges＇s to support them. What underlies Borges＇s narrative complexity is his notion of the inaccessibility of reality or divinity and his understanding of the human intellectual history as epistemological metaphors. While Borges＇s creation of narrative gap coincides with his intention of demonstrating the impossibility of the pursuit of knowledge and order, Ge Fei borrows this narrative technique from Borges to facilitate the inclusion of multiple motives and subject matters in one single story, which denotes various possible directions in which history, as well as story, may go. Borges prefers the Jungian concept of archetypal human actions and deeds, whereas Ge Fei tends to use the Freudian psychoanalysis to explore the laws governing human behaviors. But there is a perceivable connection between Ge Fei＇s rejection of linear history and traditional storyline with Borges＇ explication of epistemological uncertainty, hence the former＇s tremendous debt to the latter. Both writers have found the conventional narrative mode, which emphasizes the telling of a coherent story having a beginning, a middle, and an end, inadequate to convey their respective ideational intents.展开更多
In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of...In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks (ANNs), a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent.展开更多
文摘This paper attempts to trace the influence of Jorge Luis Borges on Ge Fei. It shows that Ge Fei＇s stories share Borges＇s narrative form though they do not have the same philosophical premises as Borges＇s to support them. What underlies Borges＇s narrative complexity is his notion of the inaccessibility of reality or divinity and his understanding of the human intellectual history as epistemological metaphors. While Borges＇s creation of narrative gap coincides with his intention of demonstrating the impossibility of the pursuit of knowledge and order, Ge Fei borrows this narrative technique from Borges to facilitate the inclusion of multiple motives and subject matters in one single story, which denotes various possible directions in which history, as well as story, may go. Borges prefers the Jungian concept of archetypal human actions and deeds, whereas Ge Fei tends to use the Freudian psychoanalysis to explore the laws governing human behaviors. But there is a perceivable connection between Ge Fei＇s rejection of linear history and traditional storyline with Borges＇ explication of epistemological uncertainty, hence the former＇s tremendous debt to the latter. Both writers have found the conventional narrative mode, which emphasizes the telling of a coherent story having a beginning, a middle, and an end, inadequate to convey their respective ideational intents.
基金Project supported by the National Natural Science Foundation of China (Nos. 60874098 and 60911130129)the High-Tech Research and Development Program (863) of China (No. 2007AA042103)+1 种基金the National Creative Research Groups Science Foundation of China (No. 60721062)the Project of Introducing Talents for Chinese University Disciplinal Innovation (111 Project, No. B07031)
文摘In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks (ANNs), a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent.
